Tag reinforcement-learning [at least 200 articles] Export

Recent papers classified by the tag reinforcement-learning.

	Dialogues on prediction errors [My Copy] Trends in Cognitive Sciences, Vol. 12, No. 7. (July 2008), pp. 265-272. by Yael Niv, Geoffrey Schoenbaum posted to td review reinforcement-learning dopamine by nelmor on 2009-11-04 09:40:31 as along with 2 people and 1 group sl sekulerlab VisionLab
	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
	Open Theoretical Questions in Reinforcement Learning [My Copy] Computational Learning Theory (1999), pp. 637-638. by Richard Sutton posted to reinforcement-learning by ransofodo on 2009-10-28 21:02:01 as along with 1 person ddahlem
	Gradient learning in spiking neural networks by dynamic perturbation of conductances. [My Copy] Physical review letters, Vol. 97, No. 4. (28 July 2006) by Ila R. Fiete, H. Sebastian Seung posted to spiking-neurons reinforcement-learning neural-networks by tkf on 2009-10-26 07:34:47 as along with 1 person fbaroni
	Learning Relational Navigation Policies [My Copy] In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS, Vol. 3 (2006) by K. Cocora, K. Kersting, C. Plagemann, W. Burgard, L. De Raedt posted to relational reinforcement-learning by Maderlock on 2009-10-25 21:05:35 as
	Reinforcement using supervised learning for policy generalization [My Copy] In AAAI'07: Proceedings of the 22nd national conference on Artificial intelligence (2007), pp. 1882-1883. by Julien Laumonier posted to svm supervised-learning reinforcement-learning generalisation by Maderlock on 2009-10-25 21:03:23 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
	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
	Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network. [My Copy] J Neurosci, Vol. 25, No. 26. (29 June 2005), pp. 6235-6242. by W. X. Pan, R. Schmidt, J. R. Wickens, B. I. Hyland posted to td reinforcement-learning rats dopamine by nelmor on 2009-10-11 09:39:02 as along with 5 people and 1 group brian klouie dep stain zhenbo_cheng Glimcher_Lab
	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
	Evaluating the Markov assumption in Markov Decision Processes for spoken dialogue management [My Copy] Language Resources and Evaluation, Vol. 40, No. 1. (1 February 2006), pp. 47-66. by Tim Paek, David Chickering posted to spoken_dialogue_system reinforcement-learning by ransofodo on 2009-10-07 18:41:17 as
	Coincident but distinct messages of midbrain dopamine and striatal tonically active neurons. [My Copy] Neuron, Vol. 43, No. 1. (8 July 2004), pp. 133-143. by G. Morris, D. Arkadir, A. Nevet, E. Vaadia, H. Bergman posted to tan reward reinforcement-learning monkeys dopamine acetylcholine by nelmor on 2009-09-29 10:33:47 as along with 5 people and 1 group sschafer brian klouie oamg mistersheik Glimcher_Lab
	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
	Memory, Attention, and Decision-Making: A unifying computational neuroscience approach [My Copy] (16 August 2007) by Edmund Rolls posted to systems-neuroscience synthetic-brains reinforcement-learning memories interacting decision-making deciding controller control-structures control-models computational-neuroscience attention by Scis0000002 on 2009-09-26 11:27:37 as along with 1 person malkocb
	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
	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
	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
	Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching [My Copy] Mach. Learn., Vol. 8, No. 3-4. (1992), pp. 293-321. by Long J. Lin posted to q-learning reinforcement-learning social-learning by gagliol on 2009-08-11 01:03:41 as
	Transfer Learning for Reinforcement Learning Domains: A Survey [My Copy] Journal of Machine Learning Research, Vol. 10 (July 2009), pp. 1633-1685. by Matthew E. Taylor, Peter Stone posted to reinforcement-learning survey by Mohan-S on 2009-08-07 22:05:32 as
	A Comprehensive Survey of Multiagent Reinforcement Learning [My Copy] Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on In Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 38, No. 2. (2008), pp. 156-172. by L. Busoniu, R. Babuska, B. De Schutter posted to multi-agent-learning multi-agent-systems reinforcement-learning by gagliol on 2009-08-05 19:15:29 as along with 1 person ddahlem
	Dopamine signaling and the distal reward problem. [My Copy] Neuroreport, Vol. 18, No. 17. (19 November 2007), pp. 1833-1836. by D. A. Nitz, W. J. Kargo, J. Fleischer posted to d1-receptor dopamine reinforcement-learning working-memory by awooga on 2009-07-29 14:32:16 as
	Allocating time and location information to activity–travel patterns through reinforcement learning [My Copy] Knowledge-Based Systems, Vol. 20, No. 5. (June 2007), pp. 466-477. by D. Janssens, Y. Lan, G. Wets, G. Chen posted to activities allocating reinforcement-learning spatio-temporal by Scis0000002 on 2009-07-18 10:58:35 as
	Learning mixed initiative dialog strategies by using reinforcement learning on both conversants [My Copy] In HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (2005), pp. 1011-1018. by Michael S. English, Peter A. Heeman posted to dialogue reinforcement-learning by ransofodo on 2009-07-16 19:23:48 as
	Adaptive call admission control under quality of service constraints: a reinforcement learning solution [My Copy] Selected Areas in Communications, IEEE Journal on In Selected Areas in Communications, IEEE Journal on, Vol. 18, No. 2. (2000), pp. 209-221. by Hui Tong, T. X. Brown posted to admission-control markov-decision-processes reinforcement-learning semi-markov-decision-processes by pcarbo on 2009-07-15 20:50:38 as
	A neuro-dynamic programming approach to admission control in ATM networks: the single link case [My Copy] Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on In Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on, Vol. 1 (1997), pp. 159-162 vol.1. by P. Marbach, J. N. Tsitsiklis posted to admission-control broadband-networks markov-decision-processes markov-processes quality-of-service reinforcement-learning by pcarbo on 2009-07-11 00:47:21 as
	Learning to Attend — From Bottom-Up to Top-Down [My Copy] Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint (2008), pp. 106-122. by Hector Jasso, Jochen Triesch posted to adaptivity attention attractivity bottom-up cip control-models cybernetics feature-selection frameworks information-processing invariances neurosemiotics reinforcement-learning scale-spaces top-down views by Scis0000002 on 2009-07-09 09:25:03 as along with 1 person kira
	An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games [My Copy] Autonomous Agents and Multi-Agent Systems, Vol. 12, No. 1. (26 January 2006), pp. 115-153. by Karl Tuyls, Pieter Hoen, Bram Vanschoenwinkel posted to evolutionary-game-theory multi-agent-learning multi-agent-systems reinforcement-learning by gagliol on 2009-07-07 18:41:02 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
	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

Note: You may cite this page as: http://www.citeulike.org/tag/reinforcement-learning

Result page: 1 2 3 4 5 6 7 Next

dopamine	58
multi-agent	31
ai	27
q-learning	24
learning	22
model	22
td	19
reward	18
function-approximation	17
machine-learning	17
review	15
striatum	15
basal-ganglia	14
dialogue-management	12
cooperation	11
decision	11
game-theory	11
neural-network	10
prefrontal-cortex	10
2006	9
working-memory	9
2003	8
mdp	8
robot	8
survey	8
2002	7
agent	7
temporal-difference	7
2007	6
aascsp	6
convergence	6
electrophysiology	6
evolutionary-algorithms	6
exploration	6
markov-decision-processes	6
monkeys	6
neuroevolution	6
neuroscience	6
uncertainty	6
2004	5
2005	5
2008	5
aascsp-related-work	5
abstract	5
algorithm-selection	5
autonomic-computing	5
bandit-problem	5
coin	5
control-models	5
fmri	5
hierarchical	5
imitation-learning	5
multi-agent-systems	5
optimization	5
pfc	5
routing	5
serotonin	5
stdp	5
1996	4
1998	4
1999	4
2000	4
abstract-model	4
amygdala	4
brain	4
computational	4
conditioning	4
deciding	4
dynamic	4
evolutionary-computation	4
explore-exploit	4
genetic-algorithm	4
human	4
hybrid-rl	4
lm-paper	4
markov	4
metaheuristic	4
motivation	4
planning	4
rats	4
resource-allocation	4
rewarding	4
sarsa	4
aascsp-theory	3
active-learning	3
anterior-cingulate	3
artificial-intelligence	3
distributed	3
eeg	3
evolution	3
feedback	3
language-acquistion	3
load-balancing	3
markov-decision-process	3
memory	3
printed	3
psychological-plausibility	3
qos	3
rl	3
task-allocation	3

Tag reinforcement-learning [at least 200 articles] Export

Related Tags