,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,2030,chapter16_2,midterm_1,T5,GoodSummary,What is the term for the lottery that has higher probability for A?,Monotonicity,2030
1,6229,chapter_1_1_5,1st midterm,T5,From GPT-3 generated summary,The text argues that a better model would be one in which the machine is uncertain about the human's objectives and therefore acts what?,cautiously,6229
2,910,slp_chapter4_3,midterm_2,GPT3,BadSummary,"How does the single document creation algorithm work?
","For each doc, remove all duplicate words before you concatenate them into
a single document.",910
3,5121,chapter_2_2_3,1st midterm,GPT3,From raw text,"What is required for a rational agent to be autonomous?
",A rational agent should be autonomous—it should learn what it can to compensate for partial or incorrect prior knowledge.,5121
4,5228,chapter_3_4_5,1st midterm,GPT3,From raw text,"What is the advantage of bidirectional search over unidirectional search?
",The advantage of bidirectional search over unidirectional search is that it can find optimal solutions faster.,5228
5,761,chapter5_1,midterm_1,GPT3,BadSummary,"What is an initial state?
",The initial state is the starting point of the game.,761
6,1953,chapter3_1,midterm_1,T5,GoodSummary,Optimal solution has what among all solutions?,lowest path cost,1953
7,1459,chapter2_1,midterm_1,GPT3,Fewshot,"What are the sensors in this case? 
",The sensors in this case are the sensors that perceive if there is dirt in the square and its location.,1459
8,1650,chapter12_2,midterm_2,GPT3,Fewshot,"What is a numerical probability?
",A numerical probability is a number between 0 and 1 that represents the likelihood of an event occurring.,1650
9,921,slp_chapter4_6,midterm_2,GPT3,BadSummary,"What is a naive bayes classifier?
",A naive bayes classifier is a classifier that uses any sort of feature.,921
10,6078,chapter_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is an example of a software agent?
",A software agent is a non-human agent that perceives its environment through sensors such as code and data and acts upon that environment through actuators such as instructions to the operating system.,6078
11,3189,chapter3_2,midterm_1,T5,Zero,What is the 8-puzzle?,sliding-block puzzle,3189
12,5986,chapter_3_4_4,1st midterm,T5,From raw text,Iterative deepening combines many of the benefits of depth-first and what other search?,breadth-first search,5986
13,740,chapter2_4,midterm_1,GPT3,BadSummary,"What is a model-based agent?
",A model-based agent is an agent that keeps track of the unobservable aspects of the current state by storing the percept history in an internal state.,740
14,3541,slp_chapter4_1,midterm_2,T5,Zero,What is the name of the classifier that returns the class with the maximum posterior probability given the document?,Naive Bayes,3541
15,3846,chapter3_6,midterm_1,T5,Fewshot,What is another heuristic that can be used to solve a problem?,misplaced object count,3846
16,5510,chapter_2_2,1st midterm,T5,From raw text,"Moral philosophy has developed several different notions of the “right thing,” but AI has generally stuck to one notion called what?",consequentialism,5510
17,6449,chapter_3_4_4,1st midterm,T5,From GPT-3 generated summary,What type of search starts with a depth limit of 0 and gradually increases the limit until a solution is found?,iterative deepening search,6449
18,6403,chapter_3_3_3,1st midterm,T5,From GPT-3 generated summary,What is a path that is just a worse way to get to the same state?,A redundant path,6403
19,6097,chapter_2_3,1st midterm,GPT3,From GPT-3 generated summary,Is a correct ,"To the question.
",6097
20,6286,chapter_2_2,1st midterm,T5,From GPT-3 generated summary,What captures the notion of desirability?,performance measure,6286
21,253,slp_chapter5_3,midterm_2,GPT3,Best Condition - with Davinci,"What is conditional maximum likelihood estimation?
","Conditional maximum likelihood estimation is a method to choose the parameters w,b that maximize the log probability of the true y labels in the training data given the observations x.",253
22,3861,chapter5_3,midterm_1,T5,Fewshot,What is the value of the highest value choice we have found so far at any action point for MAX?,Alpha,3861
23,6026,chapter_1_1_4,1st midterm,GPT3,From GPT-3 generated summary,"What is the main difference between the rational agent approach and the ""laws of thought"" approach to ai?
","The main difference between the rational agent approach and the ""laws of thought"" approach to ai is that the rational agent approach is more general, focusing on correct inferences, while the ""laws of thought"" approach is more amenable to scientific development.",6026
24,5111,chapter_2_1,1st midterm,GPT3,From raw text,"2.what are the four categories of actions?
","2.the four categories of actions are percept-dependent, percept-independent, built-in, and random.",5111
25,5183,chapter_3_3_3,1st midterm,GPT3,From raw text,"3.3.what is a repeated state in the search tree?
",3.3.a repeated state is a state that is reached by a loopy path.,5183
26,6177,chapter_3_4,1st midterm,GPT3,From GPT-3 generated summary,"What is an uninformed search algorithm given?
",An uninformed search algorithm is given no clue about how close a state is to the goal(s).,6177
27,4267,slp_chapter7_7,midterm_2,T5,Fewshot,What is one way to train a neural network?,Training the neural language model,4267
28,6079,chapter_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is an agent function?
",An agent function is a mathematical description of an agent's behavior.,6079
29,1884,slp_chapter6_12,midterm_2,GPT3,Fewshot,"What is extrinsic evaluation?
","Extrinsic evaluation is a type of evaluation metric used to evaluate vector models, in which vectors are used in an nlp task and the performance of the model is improved over some other model.",1884
30,2509,slp_chapter4_6,midterm_2,T5,GoodSummary,What can be viewed as a set of class-specific unigram language models?,naive Bayes model,2509
31,6202,chapter_1,1st midterm,T5,From GPT-3 generated summary,What is the field of artificial intelligence already generating?,revenue,6202
32,2977,chapter13_1,midterm_2,T5,BadSummary,What does each node Xi have?,associated probability information,2977
33,1847,slp_chapter9_3,midterm_2,GPT3,Fewshot,"How can you get dense vectors?
",You can get dense vectors by training a classifier.,1847
34,4418,chapter3_2,midterm_1,T5,Best Condition - with Davinci,A larger vironment with n locations has n?? 2n states?,n,4418
35,658,slp_chapter5_4,midterm_2,GPT3,GoodSummary,"What is the difference between stochastic gradient descent and batch training?
","Stochastic gradient descent is an online function, which minimizes the loss function by computing the gradient after each training example then nudging theta in the correct direction. batch training processes a set of training examples all at once.",658
36,690,slp_chapter9_2,midterm_2,GPT3,GoodSummary,"What is backpropagation through time?
",Backpropagation through time is a two-pass algorithm for training the weights.,690
37,392,chapter3_4,midterm_1,GPT3,GoodSummary,"What is bfs?
",Bfs is best-first search.,392
38,5978,chapter_3_4_4,1st midterm,T5,From raw text,What does depth-limited search use to handle longer cycles?,depth limit,5978
39,109,chapter12_3,midterm_2,GPT3,Best Condition - with Davinci,"What is the probabilistic inference procedure for a single variable x and list of evidence variables e?
","The probabilistic inference procedure for a single variable x and list of evidence variables e is to query the probability p(x|e) can be evaluated as: p(x|e) = αp(x,e) = α ∑_y p(x,e,y).",109
40,3213,chapter3_5,midterm_1,T5,Zero,Why is A* efficient?,prunes away search tree nodes,3213
41,3090,slp_chapter6_3,midterm_2,T5,BadSummary,What represent words in a term-document matrix?,rows,3090
42,5404,chapter_27_1_3,1st midterm,T5,From raw text,What is a famous example of a mathematical problem?,four-color map,5404
43,598,chapter19_5,midterm_2,GPT3,GoodSummary,"What is computational learning theory?
","Computational learning theory lies in middle of ai, statistics, and theoretical computer science.",598
44,4325,slp_chapter6_11,midterm_2,T5,Fewshot,What is the process of reducing bias in embeddings?,Debiasing,4325
45,5250,chapter_1_1_1,1st midterm,T5,From raw text,What chapter discusses the details of the Turing test and whether a computer would be intelligent if it passed?,Chapter 27,5250
46,6313,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,Does our definition of rationality say that it’s now OK to cross the road?,Far from it,6313
47,2975,chapter13_1,midterm_2,T5,BadSummary,What does a Bayesian network have?,no directed cycles,2975
48,3132,chapter1_1,midterm_1,T5,Zero,What is the fourth approach to creating AI more of?,engineering,3132
49,1216,chapter12_7,midterm_2,GPT3,Zero,"What is the wumpus world?
",The wumpus world is a world where agents can only get partial information about the world around them.,1216
50,2116,chapter7_3,midterm_1,T5,GoodSummary,What type of entailment is a |= b?,Logical,2116
51,3687,slp_chapter6_3,midterm_2,T5,Zero,What would be similar if two documents have similar words?,their column vectors,3687
52,3191,chapter3_2,midterm_1,T5,Zero,What family of puzzles can be solved using an incremental formulation or a complete-state formulation?,n-queens,3191
53,4643,chapter22_3,midterm_2,T5,Best Condition - with Davinci,What should an agent trade off between exploitation of the current best action to maximize short-term reward and?,exploration of previously unknown states/to gain info that might change the policy,4643
54,2855,chapter7_5,midterm_1,T5,BadSummary,Applying rules of inference directly to the sentences in our knowledge base to construct a proof of the desired sentence without consulting models. #### What,Theorem proving,2855
55,1778,slp_chapter4_9,midterm_2,GPT3,Fewshot,"# a do on test set x compared to
# algorithm b?
calculate p-value(x) # how likely is it that
# we would encounter the value of δ(x)
# that we found assuming the null
# hypothesis h0 is true?
","P-value(x) # if the p-value is less than the
# significance threshold then reject
# h0 and instead support hthat
# a is better.",1778
56,4156,chapter19_5,midterm_2,T5,Fewshot,"In order to test for PAC, one should only do what?",branch in one direction,4156
57,973,slp_chapter9_1,midterm_2,GPT3,BadSummary,"What are the advantages of neural language models over n-gram language models?
","Neural language models have several advantages over n-gram lms:
they don’t need smoothing
they can handle much longer histories.
they can generalize over contexts of similar words.
neural lms tend to have much higher predictive accuracy than n-gram lms.",973
58,1196,chapter12_1,midterm_2,GPT3,Zero,"What is the difference between an agent that handles uncertainty and an agent that does not?
",An agent that handles uncertainty keeps track of a belief state and generates a contingency plan handling every possible eventuality.,1196
59,357,chapter27_1,midterm_1,GPT3,GoodSummary,"What is the argument from informality of behavior?
",The argument from informality of behavior says that human behavior is too complex to be captured.,357
60,4941,slp_chapter7_1,midterm_2,T5,Best Condition - with Davinci,What is a non-linear function applied by neural units?,The activation function,4941
61,6253,chapter_27_2,1st midterm,T5,From GPT-3 generated summary,"Who said that it is not relevant whether or not machines can think, but rather if they can act intelligently?",Edsger Dijkstra,6253
62,1582,chapter7_3,midterm_1,GPT3,Fewshot,"What is the real world?
",The real world is the set of all possible worlds.,1582
63,609,slp_chapter4_1,midterm_2,GPT3,GoodSummary,"What is a probabilistic classifier?
",A probabilistic classifier is a classifier that additionally will tell us the probability of the observation being in the class.,609
64,67,chapter16_3,midterm_2,GPT3,Best Condition - with Davinci,"What is a risk-averse agent?
",A risk-averse agent is one who wants a guaranteed payoff that is lower than the expected outcome.,67
65,71,chapter17_1,midterm_2,GPT3,Best Condition - with Davinci,"What is a sequential decision problem?
",A sequential decision problem is a problem in which an agent begins in the start state and must choose an action at each time step.,71
66,6311,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,What would an agent's percept sequence not tell it about?,large truck approaching at high speed,6311
67,6128,chapter_2_4_5,1st midterm,GPT3,From GPT-3 generated summary,"What is a disadvantage of a goal-based agent?
",A goal-based agent is less flexible and cannot learn.,6128
68,4938,slp_chapter7_1,midterm_2,T5,Best Condition - with Davinci,The power of neural networks comes from the ability of which layers to learn representations that can be utilized by later layers in the network?,early layers,4938
69,5645,chapter_2_3_2,1st midterm,T5,From raw text,What is the difference between KNOWN VS. UNKNOWN?,UNKNOWN,5645
70,6065,chapter_27_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What is the problem of consciousness?
",The problem of consciousness is the,6065
71,2796,chapter3_1,midterm_1,T5,BadSummary,"What is the solution in a fully observable, deterministic, known environment?",a fixed sequence of actions,2796
72,6162,chapter_3_3_2,1st midterm,GPT3,From GPT-3 generated summary,"What are the reached states stored in?
",The reached states are stored in a lookup table.,6162
73,353,chapter1_1,midterm_1,GPT3,Best Condition - with Davinci,"What is the cognitive modeling approach?
","The cognitive modeling approach is an approach in which human thought is learned through introspection, psychological experiments, and brain imaging.",353
74,2126,chapter7_4,midterm_1,T5,GoodSummary,Rules can be expressed with what that specify the truth value of a complex sentence for each possible assignment of truth value to its components?,truth tables,2126
75,4050,chapter12_5,midterm_2,T5,Fewshot,What can also be used to compute the cause-effect relationship?,Bayes' rule,4050
76,1311,slp_chapter4_5,midterm_2,GPT3,Zero,"What is another good metric to use?
","Recall is also a good metric to use, as it measures the percentage of positive items in the input that were correctly identified by the system as positive.",1311
77,5626,chapter_2_3_2,1st midterm,T5,From raw text,What does each decision base on?,current part,5626
78,1207,chapter12_4,midterm_2,GPT3,Zero,"What is the relationship between separation and independence?
",Separation is a special case of independence.,1207
79,1198,chapter12_1,midterm_2,GPT3,Zero,"What is the benefit of probability theory?
","The benefit of probability theory is that it can be used to summarize the uncertainty that comes from an agent's laziness and ignorance, thereby solving the qualification problem.",1198
80,1206,chapter12_4,midterm_2,GPT3,Zero,"What is the relationship between separation and complexity?
",Separation can help reduce the size of the domain representation and complexity of the inference problem.,1206
81,6013,chapter_1_1_1,1st midterm,GPT3,From GPT-3 generated summary,"What are the six disciplines that compose most of ai?
","The six disciplines that compose most of ai are computer vision, speech recognition, robotics, computer navigation, natural language processing, and",6013
82,5524,chapter_2_2,1st midterm,T5,From raw text,What should an agent do instead of how one thinks the agent should behave?,what one actually wants to be achieved in the environment,5524
83,2239,chapter22_2,midterm_2,T5,GoodSummary,What approach can Adaptive dynamic programming adopt to update utility estimates after each change in learned model?,modified policy iteration,2239
84,4025,chapter22_4,midterm_2,T5,Fewshot,What can be used for online least-squared updates?,Widrow-Hoff rule / delta rule,4025
85,1409,slp_chapter6_2,midterm_2,GPT3,Zero,"How is a word embedding typically learned from data?
","A word embedding is typically learned from data, such as a text corpus.",1409
86,972,slp_chapter7_6,midterm_2,GPT3,BadSummary,"What is error backpropagation and how does it work?
",Error backpropagation is a method of computing the gradient of the loss function.,972
87,2171,chapter17_1,midterm_2,T5,GoodSummary,"For every transition from s to s' via a, agent is given a reward bounded by what?",+-Rmax,2171
88,1589,chapter7_4,midterm_1,GPT3,Fewshot,"What is the complexity of propositional logic?
","Propositional logic is co-np-complete, meaning every known inference algorithm has a worst-case complexity that is exponential",1589
89,1323,slp_chapter4_8,midterm_2,GPT3,Zero,"What is the most important step in building a machine learning model?
",The most important step in building a machine learning model is to split the data into a training set and a test set.,1323
90,659,slp_chapter5_4,midterm_2,GPT3,GoodSummary,"What is the difference between stochastic gradient descent and mini-batch training?
","Stochastic gradient descent is an online function, which minimizes the loss function by computing the gradient after each training example then nudging theta in",659
91,1138,chapter7_4,midterm_1,GPT3,Zero,"What are the semantics of propositional logic?
",The semantics of propositional logic are just the model setting truth values for each propositional symbol.,1138
92,4587,chapter17_1,midterm_2,T5,Best Condition - with Davinci,Chapter 17 is about what?,sequential decision problems,4587
93,4471,chapter5_3,midterm_1,T5,Best Condition - with Davinci,What is a technique used to optimize minimax search and cut the exponent in half?,Alpha-beta pruning,4471
94,5277,chapter_1_1_3,1st midterm,T5,From raw text,What provided patterns for argument structures that always yielded correct conclusions when given correct premises?,syllogisms,5277
95,1008,slp_chapter6_12,midterm_2,GPT3,BadSummary,"What is the dataset for the toefl dataset?
","The dataset for the toefl dataset is a set of questions, each consisting of a target word with",1008
96,4332,slp_chapter6_12,midterm_2,T5,Fewshot,What do intrinsic similarity tasks include?,context,4332
97,2837,chapter16_3,midterm_1,T5,BadSummary,What investigates irrationalities further?,Evolutionary psychology,2837
98,5545,chapter_2_2_3,1st midterm,T5,From raw text,What is nearby when I cross the street?,traffic,5545
99,3353,chapter17_3,midterm_2,T5,Zero,What is each arm of the bandit problem?,Markov reward process or MRP,3353
100,1779,slp_chapter4_9,midterm_2,GPT3,Fewshot,"What is the null hypothesis h0 in the bootstrap test?
","The null hypothesis h0 is that δ(x) is negative or zero, meaning that a is not better than b.",1779
101,4932,slp_chapter5_6,midterm_2,T5,Best Condition - with Davinci,What does the softmax function map any real number to?,the sum of the products of all the numbers times their respective probabilities,4932
102,5102,chapter_27_2_2,1st midterm,GPT3,From raw text,"Of consciousness?

",The ,5102
103,3467,chapter13_1,midterm_2,T5,Zero,What does each node Xi have?,associated probability information,3467
104,3642,slp_chapter7_3,midterm_2,T5,Zero,What do input units receive and pass them to hidden units?,input vectors,3642
105,19,chapter6_3,midterm_1,GPT3,Best Condition - with Davinci,"What is backtracking search called?
",Backtracking search is called a chronological backtracking search because the most recent decision point is revisited.,19
106,785,chapter16_3,midterm_1,GPT3,BadSummary,"What is normalized utilities?
",Normalized utilities use a scare of 0 to with 0 being the worst possible thing and 1 being the best possible outcome.,785
107,599,chapter19_5,midterm_2,GPT3,GoodSummary,"What is the principle behind computational learning theory?
",The principle behind computational learning theory is that any theory that is wrong will be found out after just a few examples.,599
108,198,chapter19_6,midterm_2,GPT3,Best Condition - with Davinci,"What is a linear decision boundary?
",A linear decision boundary is called a linear separator and data that admit such a separator are called linearly separable.,198
109,159,chapter13_2,midterm_2,GPT3,Best Condition - with Davinci,"What is the semantics of a bayes net?
",The semantics of a bayes net defines how the syntax corresponds to a joint distribution over the variables of the network.,159
110,4462,chapter5_1,midterm_1,T5,Best Condition - with Davinci,"The initial state, actions function and result function define what?",the game tree,4462
111,213,slp_chapter4_4,midterm_2,GPT3,Best Condition - with Davinci,"What is a class-specific unigram language model?
",A class-specific unigram language model is a unigram language model that is specific to a particular class.,213
112,2443,chapter19_4,midterm_2,T5,GoodSummary,What could be done to try different thresholds?,tuning hyperparameters,2443
113,557,SLP_chapter3_2,midterm_2,GPT3,GoodSummary,"What is the best way to evaluate the performance of a language model in an extrinsic environment?
",The best way to evaluate the performance of a language model in an extrinsic environment is through the use of a test set and a training set.,557
114,3243,chapter5_3,midterm_1,T5,Zero,What is created to evaluate states and some cutoff depth?,an evaluation function,3243
115,948,slp_chapter5_2,midterm_2,GPT3,BadSummary,"What is the opposite of similarity?

",The opposite of similarity is a metric for how close the current label (yˆ) is to the true gold label y.,948
116,3084,slp_chapter9_3,midterm_2,T5,BadSummary,What do weights serve as?,embeddings,3084
117,6227,chapter_1_1_5,1st midterm,T5,From GPT-3 generated summary,When does the standard model of AI assume that the machine's objective is fully specified by the human?,when the machine is intelligent enough to reason beyond the human's specifications,6227
118,1533,chapter16_2,midterm_1,GPT3,Fewshot,"What is orderability?
","Orderability is the constraint on rational preferences that states that if $a > b$, then $a \geq b$.",1533
119,3810,chapter3_3,midterm_1,T5,Fewshot,A node corresponds to what?,state in the state space,3810
120,6326,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,Who continues its task and pantomimes plugging the beetle?,the beetle,6326
121,5181,chapter_3_3_2,1st midterm,GPT3,From raw text,"What is the action that was applied to the parent’s state to generate this node?
",The action that was applied to the parent’s state to generate this node is the action that was applied to the parent’s state to generate this node.,5181
122,600,chapter19_5,midterm_2,GPT3,GoodSummary,"What is the difference between a hypothesis that is consistent with a large set of training examples and a hypothesis that is probably approximately correct?
","The difference between a hypothesis that is consistent with a large set of training examples and a hypothesis that is probably approximately correct is that the former is a hypothesis that is wrong, while the latter is a hypothesis that is right.",600
123,1441,slp_chapter6_12,midterm_2,GPT3,Zero,"What are the two ways to account for the inherent variability of embedding algorithms?
",The two ways to account for the inherent variability of embedding algorithms are to train multiple embeddings and average the results.,1441
124,1505,chapter5_1,midterm_1,GPT3,Fewshot,"What is the initial state? 
",The initial state is the starting position of the game.,1505
125,2948,SLP_chapter3_2,midterm_2,T5,BadSummary,What is the term for the perplexity of a language model on a test set?,*PP*,2948
126,6191,chapter_3_4_4,1st midterm,GPT3,From GPT-3 generated summary,"What is depth-limited search?
",Depth-limited search is a variation of depth-first search that sets a limit on how deep the search can go.,6191
127,5051,chapter_1_1_3,1st midterm,GPT3,From raw text,"1.1.what did the canonical example start with?
",1.1.the canonical example starts with socrates is a man and all men are mortal and concludes that socrates is mortal.,5051
128,3055,slp_chapter7_5,midterm_2,T5,BadSummary,What is a vector that has one element equal to 1—in the dimension corresponding to that word’s index in the vocabulary?,one-hot vector,3055
129,2495,slp_chapter4_2,midterm_2,T5,GoodSummary,What is the simplest solution to smoothing?,add-one,2495
130,5134,chapter_2_4_1,1st midterm,GPT3,From raw text,"What is a goal-based agent?
","A goal-based agent is an agent program that takes the current percept as input and returns an action to the actuators, where the action depends on both the current percept and a goal or subgoal.",5134
131,5091,chapter_27_2,1st midterm,GPT3,From raw text,"Do you agree with the philosophers who claim that a machine that acts intelligently would not be actually thinking, but would be only a simulation of thinking?
","No, i do not agree with the philosophers who claim that a machine that acts intelligently would not be actually thinking, but would be only a simulation of thinking.",5091
132,4143,chapter19_3,midterm_2,T5,Fewshot,What is a measure of the uncertainty of a random variable?,Entropy,4143
133,5168,chapter_3_3,1st midterm,GPT3,From raw text,"What is a search problem?
","A search problem is a problem that asks, ""is there a path from the initial state to a goal state?""",5168
134,4937,slp_chapter7_1,midterm_2,T5,Best Condition - with Davinci,What do neural networks take as inputs?,raw words,4937
135,2845,chapter6_2,midterm_1,T5,BadSummary,"If what is changed, the algorithm just moves on to the next arc?",$D_i$,2845
136,266,slp_chapter5_6,midterm_2,GPT3,Best Condition - with Davinci,"What is the softmax function?
",The softmax function is a function that maps any real number to the integer equal to the sum of the products of all the numbers times their respective probabilities.,266
137,1952,chapter3_1,midterm_1,T5,GoodSummary,What define a search problem?,"State space, initial state, set of possible actions, transition model action cost function, and goal states",1952
138,4846,chapter19_6,midterm_2,T5,Best Condition - with Davinci,What is a linear decision boundary called?,linear separator,4846
139,832,chapter22_2,midterm_2,GPT3,BadSummary,"What is the difference between passive adaptive dynamic programming and passive temporal diff learning?
","Passive adaptive dynamic programming uses the policy evaluation task to determine the utility of a state by plugging in the learned reward function r and the model p. on the other hand, passive temporal diff learning uses the environment to supply the connections between neighbouring states.",832
