Algorithms for Reinforcement Learning

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Algorithms for Reinforcement Learning

Algorithms for Reinforcement Learning

Csaba Szepesvari

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Κατηγορίες:

Biography & Autobiography - Science, Mathematics & Technology

Έτος:

2009

Εκδότης:

Morgan & Claypool Publishers

Γλώσσα:

english

Σειρές:

Synthesis Lectures on Artificial Intelligence and Machine Learning

Αρχείο:

PDF, 1.59 MB

IPFS:

,

english, 2009

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Ίσως σας ενδιαφέρει

Vincent François-Lavet — An Introduction to Deep Reinforcement Learning

Susan El-Shamy — Training Games: Everything You Need to Know About Using Games to Reinforce Learning

欧文 · 亚隆 (Irvin D. Yalom) 著 ; 张亚译 — 直视骄阳：征服死亡恐惧 = Staring at the Sun: Overcoming the Terror of Death

Unknown — Book

it-ebooks — Reinforcement Learning An Introduction (Complete Draft)

Frank L. Lewis, Derong Liu — Reinforcement Learning And Approximate Dynamic Programming For Feedback Control

Csaba Szepesvari — Algorithms for Reinforcement Learning

Michael Lederman Littman — Algorithms for Sequential Decision Making

Shiyu zhao 赵世钰 — Mathematical Foundations of Reinforcement Learning

Mahadevan S. — Learning Representation and Control in Markov Decision Processes: New Frontiers

Rust J. — Numerical Dynamic Programming in Economics

Richard S. Sutton, Andrew G. Barto — Reinforcement Learning - An Introduction

Richard S. Sutton; Andrew G Barto — Reinforcement Learning: An Introduction

Richard S. Sutton & Andrew G. Barto & Co-Director Autonomous Learning Laboratory Andrew G Barto & Francis Bach — Reinforcement Learning: An Introduction

Jennie Si, Andy Barto, Warren Powell, Donald Wunsch(auth.) — Handbook of Learning and Approximate Dynamic Programming

Ashwin Rao, Tikhon Jelvis — Foundations of Reinforcement Learning with Applications in Finance

Vikram Krishnamurthy — Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing

Olivier Sigaud, Olivier Buffet — Markov Decision Processes in Artificial Intelligence

Li, Chong; Qiu, Meikang — Reinforcement learning for cyber-physical systems with cybersecurity case studies

Sean Meyn — Control Systems and Reinforcement Learning

Eugene A. Feinberg, Adam Shwartz (eds.) — Handbook of Markov Decision Processes: Methods and Applications

Martijn van Otterlo — The Logic of Adaptive Behavior: Knowledge Representation and Algorithms for Adaptive Sequential Decision Making under Uncertainty in First-Order and Relational Domains

Mausam, Andrey Kolobov — Planning with Markov Decision Processes. An AI Perspective

Miguel Morales — Grokking Deep Reinforcement Learning

Dimitri P. Bertsekas, John N. Tsitsiklis — Neuro-Dynamic Programming

Dimitri P. Bertsekas — 2: Dynamic Programming and Optimal Control, Vol. II

Kyriakos G. Vamvoudakis (editor), Yan Wan (editor), Frank L. Lewis (editor), Derya Cansever (editor) — Handbook of Reinforcement Learning and Control: 325 (Studies in Systems, Decision and Control, 325)

Boris Defourny, Damien Ernst, Louis Wehenkel (auth.), Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko (eds.) — Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers

Marco Wiering, Martijn Otterlo — Reinforcement Learning: State-of-the-Art

Peter Auer (auth.), Scott Sanner, Marcus Hutter (eds.) — Recent Advances in Reinforcement Learning: 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised Selected Papers

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