暂无分享,去创建一个
Amnon Shashua | Shai Shalev-Shwartz | Aviad Cohen | Nir Ben-Zrihem | S. Shalev-Shwartz | A. Shashua | Nir Ben-Zrihem | Aviad Cohen | Shai Shalev-Shwartz
[1] G. DeJong,et al. Theory and Application of Reward Shaping in Reinforcement Learning , 2004 .
[2] William T. B. Uther,et al. Adversarial Reinforcement Learning , 2003 .
[3] Guy Lever,et al. Deterministic Policy Gradient Algorithms , 2014, ICML.
[4] Ronen I. Brafman,et al. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning , 2001, J. Mach. Learn. Res..
[5] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[6] S. Hart,et al. A simple adaptive procedure leading to correlated equilibrium , 2000 .
[7] Richard Bellman,et al. Introduction to the mathematical theory of control processes , 1967 .
[8] Chelsea C. White,et al. A survey of solution techniques for the partially observed Markov decision process , 1991, Ann. Oper. Res..
[9] Jan Peters,et al. Reinforcement learning in robotics: A survey , 2013, Int. J. Robotics Res..
[10] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[11] R Bellman,et al. DYNAMIC PROGRAMMING AND LAGRANGE MULTIPLIERS. , 1956, Proceedings of the National Academy of Sciences of the United States of America.
[12] John L. Casti. Introduction to the Mathematical Theory of Control Processes, Volume I: Linear Equations and Quadratic Criteria, Volume II: Nonlinear Processes , 1978, IEEE Transactions on Systems, Man, and Cybernetics.
[13] David K. Smith,et al. Dynamic Programming and Optimal Control. Volume 1 , 1996 .
[14] Anton Maximilian Schäfer,et al. Reinforcement learning with recurrent neural networks , 2008 .
[15] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[16] Michael Kearns,et al. Near-Optimal Reinforcement Learning in Polynomial Time , 2002, Machine Learning.
[17] Michael P. Wellman,et al. Nash Q-Learning for General-Sum Stochastic Games , 2003, J. Mach. Learn. Res..
[18] Yoav Shoham,et al. If multi-agent learning is the answer, what is the question? , 2007, Artif. Intell..
[19] Jürgen Schmidhuber,et al. Reinforcement Learning in Markovian and Non-Markovian Environments , 1990, NIPS.
[20] Alex Graves,et al. Recurrent Models of Visual Attention , 2014, NIPS.
[21] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[22] O. H. Brownlee,et al. ACTIVITY ANALYSIS OF PRODUCTION AND ALLOCATION , 1952 .
[23] Michael L. Littman,et al. Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.
[24] Csaba Szepesvári,et al. Algorithms for Reinforcement Learning , 2010, Synthesis Lectures on Artificial Intelligence and Machine Learning.
[25] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[26] Gábor Lugosi,et al. Prediction, learning, and games , 2006 .
[27] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[28] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[29] Andrew Y. Ng,et al. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping , 1999, ICML.
[30] Bram Bakker,et al. Reinforcement Learning with Long Short-Term Memory , 2001, NIPS.
[31] Sebastian Thrun,et al. Learning to Play the Game of Chess , 1994, NIPS.