ddahlem's reinforcement-learning [84 articles] Export

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	Multi-agent Learning Dynamics: A Survey [My Copy] Cooperative Information Agents XI In Cooperative Information Agents XI (September 2007), pp. 36-56. by H. van den Herik, D. Hennes, M. Kaisers, K. Tuyls, K. Verbeeck posted to survey simulation reinforcement-learning multi-agent comparison 2007 by ddahlem on 2009-10-29 16:06:07 as
	Empirically Evaluating Multiagent Learning Algorithms [My Copy] No. TR-2008-. (November 2008) by Eric Zawadzki, Asher Lipson, Kevin L. Brown posted to reinforcement-learning regret performance multi-agent game-theory comparison 2008 by ddahlem on 2009-10-29 11:30:14 as
	Exploring selfish reinforcement learning in repeated games with stochastic rewards [My Copy] Autonomous Agents and Multi-Agent Systems, Vol. 14, No. 3. (10 November 2006), pp. 239-269. by Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls posted to selfish reinforcement-learning multi-agent load-balancing exploration esrl ai 2006 by ddahlem on 2009-10-24 18:23:35 as
	Homo Egualis Reinforcement Learning Agents for Load Balancing [My Copy] Innovative Concepts for Agent-Based Systems In Innovative Concepts for Agent-Based Systems (2003), pp. 81-91. by Katja Verbeeck, Johan Parent, Ann Nowé posted to reinforcement-learning nash multi-agent load-balancing homo-egualis ai 2003 by ddahlem on 2009-10-24 16:15:26 as
	Collective intelligence, data routing and braess' paradox [My Copy] J. Artif. Int. Res., Vol. 16, No. 1. (2002), pp. 359-387. by David H. Wolpert, Kagan Tumer posted to routing reinforcement-learning dynamic collective-intelligence coin braess 2002 by ddahlem on 2009-10-22 18:04:56 as
	Collective intelligence for control of distributed dynamical systems [My Copy] EPL (Europhysics Letters), Vol. 49, No. 6. (2000), pp. 708-714. by D. H. Wolpert, K. R. Wheeler, K. Tumer posted to reinforcement-learning game-theory distributed decentralised control collective-intelligence 2000 by ddahlem on 2009-10-22 15:34:10 as
	Collective Intelligence and Braess' Paradox [My Copy] In Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence (2000), pp. 104-109. by Kagan Tumer, David Wolpert posted to wonderful-life-utility routing reinforcement-learning paradox dynamic coin braess ai 2002 by ddahlem on 2009-10-20 22:22:54 as
	Using collective intelligence to route Internet traffic [My Copy] In Proceedings of the 1998 conference on Advances in neural information processing systems II (1999), pp. 952-958. by David H. Wolpert, Kagan Tumer, Jeremy Frank posted to wonderful-life-utility routing reinforcement-learning dynamic coin ai 1998 by ddahlem on 2009-10-20 22:22:07 as
	A Generalized Reinforcement-Learning Model: Convergence and Applications [My Copy] (1996) by Michael L. Littman, Csaba Szepesvári posted to reinforcement-learning game-theory 1996 by ddahlem on 2009-10-19 17:53:28 as
	Friend-or-Foe Q-learning in General-Sum Games [My Copy] In Proceedings of the Eighteenth International Conference on Machine Learning (2001), pp. 322-328. by Michael L. Littman posted to reinforcement-learning reinforcement multiagent learning game-theory competitive 2001 by ddahlem on 2009-10-19 15:52:29 as
	Online resource allocation using decompositional reinforcement learning [My Copy] In AAAI'05: Proceedings of the 20th national conference on Artificial intelligence (2005), pp. 886-891. by Gerald Tesauro posted to resource-allocation reinforcement-learning mdp decentralised 2005 by ddahlem on 2009-10-14 16:02:57 as
	Multiagent Systems: A Survey from a Machine Learning Perspective [My Copy] Autonomous Robots, Vol. 8, No. 3. (1 June 2000), pp. 345-383. by Peter Stone, Manuela Veloso posted to reinforcement-learning multi-agent machine-learning dai cooperation ai 2000 by ddahlem on 2009-10-09 22:45:13 as along with 3 people christiand pthimon Bc91
	On the agenda(s) of research on multi-agent learning [My Copy] In In AAAI 2004 Symposium on Artificial Multi-Agent Learning, Vol. 2 (2004) by Yoav Shoham, Rob Powers, Trond Grenager posted to reinforcement-learning multi-agent game-theory critique ai agenda 2004 by ddahlem on 2009-09-28 17:00:20 as
	Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence [My Copy] (19 March 1999) edited by Gerhard Weiss posted to reinforcement-learning multi-agent book ai 1999 by ddahlem on 2009-09-27 22:03:11 as along with 1 person and 1 group micrix StFX Centre for Logic and Information
	Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games [My Copy] In in Advances in Neural Information Processing Systems, Vol. 15 (2002), pp. 1571-1578. by Xiaofeng Wang, Tuomas Sandholm posted to reinforcement-learning oal markov game-theory cooperation convergence 2002 by ddahlem on 2009-09-27 17:33:05 as
	Asynchronous stochastic approximation and Q-learning [My Copy] Machine Learning, Vol. 16, No. 3. (1 September 1994), pp. 185-202. by John N. Tsitsiklis posted to reinforcement-learning q-learning convergence 1993 by ddahlem on 2009-09-27 17:00:02 as
	On the convergence of stochastic iterative dynamic programming algorithms [My Copy] Neural Comput., Vol. 6, No. 6. (1994), pp. 1185-1201. by Tommi Jaakkola, Michael I. Jordan, Satinder P. Singh posted to td reinforcement-learning q-learning convergence 1994 by ddahlem on 2009-09-27 16:59:12 as
	Nash q-learning for general-sum stochastic games [My Copy] J. Mach. Learn. Res., Vol. 4 (2003), pp. 1039-1069. by Junling Hu, Michael P. Wellman posted to stochastic reinforcement-learning q-learning nashq nash game-theory 2003 by ddahlem on 2009-09-25 20:07:12 as
	Reinforcement learning of coordination in cooperative multi-agent systems [My Copy] In Eighteenth national conference on Artificial intelligence (2002), pp. 326-331. by Spiros Kapetanakis, Daniel Kudenko posted to reinforcement-learning q-learning multi-agent game-theory cooperation boltzmann 2002 by ddahlem on 2009-09-25 19:24:51 as
	The dynamics of reinforcement learning in cooperative multiagent systems [My Copy] In AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence (1998), pp. 746-752. by Caroline Claus, Craig Boutilier posted to reinforcement-learning q-learning multi-agent game-theory cooperation boltzmann 1998 by ddahlem on 2009-09-25 19:23:21 as along with 1 person dowlingj
	Optimal Payoff Functions For Members Of Collectives [My Copy] Advances in Complex Systems (ACS), Vol. 4, No. 02. (2001), pp. 265-279. by David H. Wolpert, Kagan Tumer posted to cooperation swarm reinforcement-learning reinforcement learning intelligence el distributive distributed credit-assignment control collective-intelligence collective 2001 by ddahlem on 2009-09-25 11:28:50 as
	Reinforcement Learning in the Multi-Robot Domain [My Copy] Autonomous Robots, Vol. 4, No. 1. (1 March 1997), pp. 73-83. by Maja J. Matarić posted to cooperation robot reward reinforcement-learning heterogeneous foraging credit-assignment 1997 by ddahlem on 2009-09-25 11:26:48 as
	Fundamentals of Multiagent Systems: Using NetLogo Models [My Copy] (2006) by José M. Vidal posted to textbook reinforcement-learning multiagent multi-agent learning game-theory agent 2009 by ddahlem on 2009-09-24 16:02:49 as
	Markov games as a framework for multi-agent reinforcement learning [My Copy] In Proceedings of the Eleventh International Conference on Machine Learning (1994), pp. 157-163. by Michael L. Littman posted to zero-sum reinforcement-learning q-learning multi-agent minimax-q game-theory agent 1994 by ddahlem on 2009-09-23 16:04:19 as
	Multi-agent learning for engineers [My Copy] Artificial Intelligence, Vol. 171, No. 7. (May 2007), pp. 417-422. by S. Mannor, J. Shamma posted to reinforcement-learning overview multi-agent 2007 by ddahlem on 2009-09-15 21:12:44 as along with 1 person lcigler
	TD-Gammon, a self-teaching backgammon program, achieves master-level play [My Copy] Neural Comput., Vol. 6, No. 2. (March 1994), pp. 215-219. by Gerald Tesauro posted to td-gammon td reinforcement-learning neural-network function-approximation 1994 by ddahlem on 2009-08-13 14:49:24 as along with 2 people benoitstpierre fbernardo
	Reinforcement learning is direct adaptive optimal control [My Copy] Control Systems Magazine, IEEE In Control Systems Magazine, IEEE, Vol. 12, No. 2. (1992), pp. 19-22. by R. S. Sutton, A. G. Barto, R. J. Williams posted to reinforcement-learning q-learning learning 1992 by ddahlem on 2009-08-12 11:18:55 as
	A Multi-Agent Learning Approach to Online Distributed Resource Allocation [My Copy] In IJCAI 2009, Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (July 2009), pp. 361-366. by Chongjie Zhang, Victor Lesser, Prashant Shenoy posted to 2009 fair-action-learner fal giga multi-agent reinforcement-learning resource-allocation by ddahlem on 2009-08-05 18:51:06 as
	Learning the task allocation game [My Copy] In AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006), pp. 850-857. by Sherief Abdallah, Victor Lesser posted to 2006 distributed game-theory multi-agent reinforcement-learning task-allocation weighted-policy-learner wpl by ddahlem on 2009-06-30 14:08:55 as
	Least-squares policy iteration [My Copy] J. Mach. Learn. Res., Vol. 4 (2003), pp. 1107-1149. by Michail G. Lagoudakis, Ronald Parr posted to 2003 function-approximation least-squares-policy-iteration linear reinforcement-learning by ddahlem on 2009-06-29 11:55:37 as
	Reinforcement learning for adaptive routing [My Copy] Proceedings of the 2002 International Joint Conference on Neural Networks, 2002. IJCNN '02. In Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on, Vol. 2 (2002), pp. 1825-1830. by L. Peshkin, V. Savova posted to 2002 adaptive gradient-ascent q-learning reinforcement-learning routing by ddahlem on 2009-06-27 16:26:10 as
	A selection-mutation model for q-learning in multi-agent systems [My Copy] In AAMAS '03: Proceedings of the second international joint conference on Autonomous agents and multiagent systems (2003), pp. 693-700. by Karl Tuyls, Katja Verbeeck, Tom Lenaerts posted to 2003 exploration game-theory multi-agent q-learning reinforcement-learning by ddahlem on 2009-06-26 12:18:15 as
	A Bayesian Sampling Approach to Exploration in Reinforcement Learning [My Copy] In Proceedings of The 25th Conference on Uncertainty in Artificial Intelligence (UAI-09) (18-21 June 2009) by John Asmuth, Lihong Li, Michael L. Littman, Ali Nouri, David Wingate posted to 2009 bayesian exploration reinforcement-learning by ddahlem on 2009-06-26 12:16:28 as
	Multi-resolution Exploration in Continuous Spaces [My Copy] In Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 (December 2008), pp. 1209-1216. by Ali Nouri, Michael L. Littman edited by Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou posted to 2008 exploration mdp multi-resolution reinforcement-learning by ddahlem on 2009-06-26 12:07:38 as
	Online Exploration in Least-Squares Policy Iteration [My Copy] In Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009) (10-15 May 2009) by Lihong Li, Michael L. Littman, Christopher R. Mansley posted to 2009 exploration least-squares-policy-iteration mdp reinforcement-learning by ddahlem on 2009-06-26 12:02:09 as
	Dynamic Analysis of Multiagent Q-learning with $ε$-greedy Exploration [My Copy] In Proceedings of the 26th International Conference on Machine Learning (2009), pp. 369-376. by Eduardo R. Gomes, Ryszard Kowalczyk edited by Léon Bottou, Michael Littman posted to 2009 epsilon-greedy exploration multi-agent reinforcement-learning by ddahlem on 2009-06-26 11:50:31 as
	Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control [My Copy] Algorithmic Learning Theory In Algorithmic Learning Theory - 13th International Conference, ALT 2002 Lübeck, Germany, November 24–26, 2002 Proceedings (November 2009), pp. 403-414. by Rémi Coulom posted to 2002 function-approximation neural-network reinforcement-learning rl by ddahlem on 2009-06-26 11:46:05 as
	Reinforcement Learning in Continuous Time and Space: Interference and Not Ill Conditioning Is the Main Problem When Using Distributed Function Approximators [My Copy] Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on In Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Vol. 38, No. 4. (2008), pp. 950-956. by B. Baddeley posted to 2008 function-approximation neural-network reinforcement-learning by ddahlem on 2009-06-26 11:44:21 as
	Evolutionary game theory and multi-agent reinforcement learning [My Copy] Knowl. Eng. Rev., Vol. 20, No. 1. (2005), pp. 63-90. by Karl Tuyls, Ann Nowé posted to 2005 evolution game-theory learning-automata multi-agent reinforcement-learning by ddahlem on 2009-06-26 11:29:07 as
	Learning and planning in environments with delayed feedback [My Copy] Autonomous Agents and Multi-Agent Systems, Vol. 18, No. 1. (February 2009), pp. 83-105. by Thomas Walsh, Ali Nouri, Lihong Li, Michael Littman posted to 2009 delay feedback mdp planning reinforcement-learning by ddahlem on 2009-06-26 11:19:19 as
	Implementing Temporal-Difference Learning with the Scaled Conjugate Gradient Algorithm [My Copy] Neural Processing Letters, Vol. 22, No. 3. (December 2005), pp. 361-375. by Tasos Falas, Andreas Stafylopatis posted to 2005 conjugate-gradient function-approximation neural-network reinforcement-learning rl temporal-difference by ddahlem on 2009-06-26 11:16:18 as
	Improvement of Systems Management Policies Using Hybrid Reinforcement Learning [My Copy] Machine Learning: ECML 2006 In Machine Learning: ECML 2006 - 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings (2006), pp. 783-791. by Gerald Tesauro, Nicholas Jong, Rajarshi Das, Mohamed Bennani posted to 2006 function-approximation hybrid-rl reinforcement-learning by ddahlem on 2009-06-04 10:42:04 as
	Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning [My Copy] In Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA (July 2006) by Shimon Whiteson, Peter Stone posted to 2006 evolution function-approximation reinforcement-learning td by ddahlem on 2009-06-04 10:37:44 as
	Evolutionary Function Approximation for Reinforcement Learning [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 877-917. by Shimon Whiteson, Peter Stone posted to 2006 evolution function-approximation learning neat reinforcement-learning td by ddahlem on 2009-06-04 10:32:12 as
	Expertness based cooperative Q-learning [My Copy] Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on In Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Vol. 32, No. 1. (2002), pp. 66-76. by M. N. Ahmadabadi, M. Asadpour posted to 2002 cooperation crl expert learning q-learning reinforcement-learning by ddahlem on 2009-06-04 10:30:10 as
	An analysis of reinforcement learning with function approximation [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 664-671. by Francisco S. Melo, Sean P. Meyn, Isabel M. Ribeiro posted to 2008 convergence function-approximation reinforcement-learning by ddahlem on 2009-06-02 12:15:23 as
	Reinforcement learning with function approximation converges to a region [My Copy] In Advances in Neural Information Processing Systems, Vol. 13 (2001), pp. 1040-1046. by Geoffrey J. Gordon posted to 2001 convergence function-approximation reinforcement-learning by ddahlem on 2009-06-02 11:58:52 as
	Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 19, No. 2. (2008), pp. 230-244. by Ah-Hwee Tan, Ning Lu, Dan Xiao posted to 2007 function-approximation neural-network q-learning reinforcement-learning td temporal-difference by ddahlem on 2009-03-19 11:53:20 as
	Efficient multi-agent reinforcement learning through automated supervision [My Copy] In AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems (2008), pp. 1365-1370. by Chongjie Zhang, Sherief Abdallah, Victor Lesser posted to 2008 multi-agent reinforcement-learning supervision task-allocation task-assignment by ddahlem on 2009-03-18 15:35:40 as
	Multiagent reinforcement learning and self-organization in a network of agents [My Copy] In AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems (2007), pp. 1-8. by Sherief Abdallah, Victor Lesser posted to 2007 distributed multi-agent reinforcement-learning self-organization task-allocation task-assignment by ddahlem on 2009-03-18 14:55:49 as

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ddahlem's reinforcement-learning [84 articles] Export

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