Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer
暂无分享,去创建一个
[1] Anna Helena Reali Costa,et al. Experience generalization for concurrent reinforcement learners: the minimax-QS algorithm , 2002, AAMAS '02.
[2] Tuomas Sandholm,et al. Lossy stochastic game abstraction with bounds , 2012, EC '12.
[3] Athanasios V. Vasilakos,et al. The use of learning algorithms in ATM networks call admission control problem: a methodology , 1995, Proceedings of 20th Conference on Local Computer Networks.
[4] Charles Lee Isbell,et al. Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games , 2011, AAAI.
[5] Michael L. Littman,et al. Friend-or-Foe Q-learning in General-Sum Games , 2001, ICML.
[6] Yoav Shoham,et al. Simple search methods for finding a Nash equilibrium , 2004, Games Econ. Behav..
[7] Oriol Sallent,et al. Intercell Interference Management in OFDMA Networks: A Decentralized Approach Based onReinforcement Learning , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[8] Wei Zhang,et al. Multiagent-Based Reinforcement Learning for Optimal Reactive Power Dispatch , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[9] Peter Vrancx,et al. Learning multi-agent state space representations , 2010, AAMAS.
[10] Xiaofeng Wang,et al. Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games , 2002, NIPS.
[11] Victor R. Lesser,et al. Integrating organizational control into multi-agent learning , 2009, AAMAS.
[12] Maria L. Gini,et al. Fast adaptive learning in repeated stochastic games by game abstraction , 2014, AAMAS.
[13] Keith B. Hall,et al. Correlated Q-Learning , 2003, ICML.
[14] Ronen I. Brafman,et al. Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study , 2008 .
[15] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[16] Peter Vrancx,et al. Decentralized Learning in Markov Games , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] Nikos A. Vlassis,et al. Sparse cooperative Q-learning , 2004, ICML.
[18] Pengcheng Zhang,et al. A novel multi-agent reinforcement learning approach for job scheduling in Grid computing , 2011, Future Gener. Comput. Syst..
[19] Naixue Xiong,et al. A game-theoretic method of fair resource allocation for cloud computing services , 2010, The Journal of Supercomputing.
[20] Charles L. Isbell,et al. Solving Stochastic Games , 2009, NIPS.
[21] Athanasios V. Vasilakos,et al. A new approach to the design of reinforcement schemes for learning automata: Stochastic estimator learning algorithm , 1995, Neurocomputing.
[22] Reinaldo A. C. Bianchi,et al. Heuristic Selection of Actions in Multiagent Reinforcement Learning , 2007, IJCAI.
[23] Ville Könönen,et al. Asymmetric multiagent reinforcement learning , 2003, Web Intell. Agent Syst..
[24] Bart De Schutter,et al. A Comprehensive Survey of Multiagent Reinforcement Learning , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[25] Paul W. Goldberg,et al. The complexity of computing a Nash equilibrium , 2006, STOC '06.
[26] Michael L. Littman,et al. Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.
[27] Ariel Rubinstein,et al. A Course in Game Theory , 1995 .
[28] Athanasios V. Vasilakos,et al. Game Dynamics and Cost of Learning in Heterogeneous 4G Networks , 2012, IEEE Journal on Selected Areas in Communications.
[29] Victor R. Lesser,et al. Coordinating multi-agent reinforcement learning with limited communication , 2013, AAMAS.
[30] Csaba Szepesvári,et al. A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms , 1999, Neural Computation.
[31] Yong Duan,et al. A multi-agent reinforcement learning approach to robot soccer , 2012, Artificial Intelligence Review.
[32] Manuela M. Veloso,et al. Learning of coordination: exploiting sparse interactions in multiagent systems , 2009, AAMAS.
[33] Victor R. Lesser,et al. Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs , 2011, AAAI.
[34] Michael P. Wellman,et al. Nash Q-Learning for General-Sum Stochastic Games , 2003, J. Mach. Learn. Res..
[35] Peter Vrancx,et al. Generalized learning automata for multi-agent reinforcement learning , 2010, AI Commun..
[36] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[37] Witold Pedrycz,et al. Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques , 2003, IEEE Trans. Syst. Man Cybern. Part C.