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Score

A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.

All Votes Add Books To This List
1
Reinforcement Learning: An ...
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)
by
Richard S. Sutton

4.53 avg rating — 802 ratings
score: 300, and 3 people votedLoading trans  
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2
Markov Decision Processes: ...
Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics)
by
Martin L. Puterman

4.47 avg rating — 17 ratings
score: 197, and 2 people votedLoading trans  
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3
Algorithms for Reinforcemen...
Algorithms for Reinforcement Learning
by
Csaba Szepesvari

4.04 avg rating — 26 ratings
score: 196, and 2 people votedLoading trans  
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4
Convex Optimization
Convex Optimization
by
Stephen Boyd

4.48 avg rating — 345 ratings
score: 99, and 1 person votedLoading trans  
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5
Algorithms for Reinforcemen...
Algorithms for Reinforcement Learning
by
Csaba Szepesvari

4.04 avg rating — 26 ratings
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6
Foundations of Modern Proba...
Foundations of Modern Probability (Probability Theory and Stochastic Modelling, 99)
by
Olav Kallenberg

4.14 avg rating — 37 ratings
score: 96, and 1 person votedLoading trans  
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7
An Introduction to Markov P...
An Introduction to Markov Processes (Graduate Texts in Mathematics, 230)
by
Daniel W. Stroock

4.12 avg rating — 8 ratings
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8
Markov Chains: Gibbs Fields...
Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues
by
Pierre Brémaud

3.90 avg rating — 10 ratings
score: 94, and 1 person votedLoading trans  
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9
Reinforcement Learning and ...
Reinforcement Learning and Optimal Control
by
Dimitri P. Bertsekas

4.15 avg rating — 13 ratings
score: 93, and 1 person votedLoading trans  
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10
Rollout, Policy Iteration, ...
Rollout, Policy Iteration, and Distributed Reinforcement Learning
by
Dimitri P. Bertsekas

4.50 avg rating — 2 ratings
score: 92, and 1 person votedLoading trans  
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11
Stochastic Differential Equ...
Stochastic Differential Equations: An Introduction with Applications
by
Bernt Øksendal

4.08 avg rating — 78 ratings
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12
Algorithmic Game Theory
Algorithmic Game Theory
by
Noam Nisan (Editor)

4.21 avg rating — 80 ratings
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13
Decision Making Under Uncer...
Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)
by
Mykel J. Kochenderfer

4.39 avg rating — 28 ratings
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14
Approximation Algorithms
Approximation Algorithms
by
Vijay V. Vazirani

4.20 avg rating — 56 ratings
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15
Probability and Computing: ...
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
by
Michael Mitzenmacher

4.23 avg rating — 92 ratings
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16
Probability: Theory and Exa...
Probability: Theory and Examples (Cambridge Series in Statistical and Probabilistic Mathematics Book 49)
by
Richard Durrett

3.87 avg rating — 45 ratings
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17
Diffusions, Markov Processe...
Diffusions, Markov Processes, and Martingales: Volume 1, Foundations
by
L.C.G. Rogers

4.38 avg rating — 16 ratings
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18
Diffusions, Markov Processe...
Diffusions, Markov Processes and Martingales: Volume 2, Itô Calculus
by
L.C.G. Rogers

4.29 avg rating — 14 ratings
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18 books · 3 voters · list created January 28th, 2021 by Henry (votes) .
Tags: artificial-intelligence, machine-learning, reinforcement-learning
3 likes · Like
Lists are re-scored approximately every 5 minutes.


People Who Voted On This List (3)

Henry 4806 books
153 friends
henry 264 books
1 friend
wint 75 books
2 friends



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