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Reinforcement Learning


Reinforcement Learning Books

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Reinforcement Learning: Industrial Applications of Intelligent Agents
Deep Reinforcement Learning in Action
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Bandit Algorithms
 
by
Tor Lattimore
Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)
Algorithms for Reinforcement Learning
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging
Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3)
Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models
Prediction, Learning, and Games
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Machine Learning and A...
 
by
Reza Rawassizadeh
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Lists

Reinforcement Learning by Richard S. SuttonMarkov Decision Processes by Martin L. PutermanAlgorithms for Reinforcement Learning by Csaba SzepesvariConvex Optimization by Stephen BoydAlgorithms for Reinforcement Learning by Csaba Szepesvari
Reinforcement Learning
18 books — 3 voters