Tag rl [105 articles] Export

Recent papers classified by the tag rl.

	Automatic basis function construction for approximate dynamic programming and reinforcement learning [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 449-456. by Philipp W. Keller, Shie Mannor, Doina Precup posted to rl by stober on 2009-12-15 21:06:52 as along with 1 person tdahl
	Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity. [My Copy] Neural computation, Vol. 19, No. 6. (June 2007), pp. 1468-1502. by Răzvan V. Florian posted to stdp spike rl reinforcement learning by dowlingj on 2009-12-11 14:21:15 as along with 2 people dcoates fbaroni
	HQ-learning [My Copy] Adapt. Behav., Vol. 6, No. 2. (1997), pp. 219-246. by Marco Wiering, Jürgen Schmidhuber posted to rl by stober on 2009-11-20 23:07:03 as
	Learning diverse rankings with multi-armed bandits [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 784-791. by Filip Radlinski, Robert Kleinberg, Thorsten Joachims posted to rl retrieval reinforcement_learning reinforcement learning ir information diversity by katja to the group ilps on 2009-11-19 11:20:39 as along with 1 person idlebrain
	Interactively optimizing information retrieval systems as a dueling bandits problem [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 1201-1208. by Yisong Yue, Thorsten Joachims posted to rl retrieval reinforcement_learning reinforcement rank learning l2r ir information by katja to the group ilps on 2009-11-19 11:18:21 as
	An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 752-759. by Ronald Parr, Lihong Li, Gavin Taylor, Christopher P. Wakefield, Michael L. Littman posted to rl by stober on 2009-09-24 20:48:02 as
	The complexity of Markov decision processes [My Copy] Math. Oper. Res., Vol. 12, No. 3. (August 1987), pp. 441-450. by Christos Papadimitriou, John N. Tsitsiklis posted to rl by stober on 2009-09-24 01:08:28 as along with 2 people and 4 groups euclid AlainDutech Algorithms metric_embeddings TCS Polytopes
	On the Complexity of Solving Markov Decision Problems [My Copy] In In Proc. of the Eleventh International Conference on Uncertainty in Artificial Intelligence (1995), pp. 394-402. by Michael L. Littman, Thomas L. Dean, Leslie P. Kaelbling posted to rl by stober on 2009-09-24 01:07:38 as
	PAC model-free reinforcement learning [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 881-888. by Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman posted to rl by stober on 2009-09-24 01:01:14 as
	Improving Elevator Performance Using Reinforcement Learning [My Copy] In Advances in Neural Information Processing Systems 8, Vol. 8 (1996), pp. 1017-1023. by Robert Crites, Andrew Barto posted to rl ml by rwebb on 2009-09-11 10:09:41 as along with 1 person ddahlem
	Reinforcement Learning in Continuous Action Spaces [My Copy] Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on In Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on (2007), pp. 272-279. by H. van Hasselt, M. A. Wiering posted to rl by stober on 2009-07-08 20:25:18 as along with 1 person Cavadini
	Algorithms for Inverse Reinforcement Learning [My Copy] In in Proc. 17th International Conf. on Machine Learning (2000), pp. 663-670. by Andrew Y. Ng, Stuart Russell posted to rl by stober on 2009-07-02 17:01:10 as along with 2 people zhensong Maderlock
	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
	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
	Models of Information Processing in the Sensorimotor Loop [My Copy] Information Theory and Statistical Learning (2009), pp. 289-308. by Daniel Polani, Marco Möller posted to rl by stober on 2009-06-16 21:05:10 as
	All Else Being Equal Be Empowered [My Copy] Advances in Artificial Life (2005), pp. 744-753. by Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv posted to rl by stober on 2009-06-16 21:03:15 as
	Tree-Based Batch Mode Reinforcement Learning [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 503-556. by Damien Ernst, Pierre Geurts, Louis Wehenkel posted to rl by stober on 2009-04-08 18:50:39 as
	Near-Optimal Reinforcement Learning in Polynomial Time [My Copy] Mach. Learn., Vol. 49, No. 2-3. (2002), pp. 209-232. by Michael Kearns, Satinder Singh posted to rl by stober on 2009-04-08 18:40:32 as
	Using expectation-maximization for reinforcement learning [My Copy] Neural Comput., Vol. 9, No. 2. (1997), pp. 271-278. by Peter Dayan, Geoffrey E. Hinton posted to em rl by stober on 2009-04-06 03:59:57 as
	Learning the structure of Factored Markov Decision Processes in reinforcement learning problems [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 257-264. by Thomas Degris, Olivier Sigaud, Pierre H. Wuillemin posted to rl by stober on 2009-04-06 03:18:07 as
	Automated state abstraction for options using the u-tree algorithm [My Copy] In In Advances in Neural Information Processing Systems: Proceedings of the 2000 Conference, Vol. 13 (2001), pp. 1054-1060. by Anders Jonsson, Andrew G. Barto posted to rl by stober on 2009-04-06 03:05:20 as
	ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 600-607. by Nicolas Loeff, David Forsyth, Deepak Ramachandran posted to manifold ml rl by stober on 2009-03-31 03:59:47 as
	An analysis of temporal-difference learning with function approximation [My Copy] Automatic Control, IEEE Transactions on In Automatic Control, IEEE Transactions on, Vol. 42, No. 5. (1997), pp. 674-690. by J. N. Tsitsiklis, B. Van Roy posted to rl by stober on 2009-03-24 22:54:08 as
	Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems [My Copy] In Advances in Neural Information Processing Systems, Vol. 9 (1997) by Satinder Singh, Dimitri Bertsekas edited by Michael C. Mozer, Michael I. Jordan, Thomas Petsche posted to channelalloc rl by yarapavan on 2009-01-16 08:25:56 as along with 1 person fbernardo
	Learning to Predict by the Methods of Temporal Differences [My Copy] Machine Learning, Vol. 3 (1988), pp. 9-44. by Richard S. Sutton posted to rl sutton td by yarapavan on 2009-01-16 08:22:56 as along with 8 people and 5 groups qwermish brian oamg garyfeng dep pverstra gonium afoerster Glimcher_Lab ReadingLab macc SensorNetworks Computational Learning Theory
	Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) [My Copy] (08 May 1998) by Richard S. Sutton, Andrew G. Barto posted to rl textbook by yarapavan on 2009-01-16 08:17:49 as along with 25 people and 2 groups dowlingj ngoncalves cez_etc ddahlem pshenoy robotact brian jerlich klouie oamg anoopsarkar creswick kmregan garyfeng mrkrause stain gonium nelmor awooga mzygmunt mak bsilverthorn tdahl fbernardo lrozo Glimcher_Lab ReadingLab
	Value Function Based Reinforcement Learning in Changing Markovian Environments [My Copy] Journal of Machine Learning Research, Vol. 9 (August 2008), pp. 1679-1709. by Balázs C. Csáji, László Monostori posted to rl theory by dayadvham on 2008-09-01 14:51:51 as
	Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning [My Copy] Artificial Intelligence, Vol. 112, No. 1-2. (1999), pp. 181-211. by Richard S. Sutton, Doina Precup, Satinder Singh posted to options rg rl by stober on 2008-08-13 17:06:44 as along with 5 people pcarbo Maderlock robotact schumach ddahlem
	Policy invariance under reward transformations: theory and application to reward shaping [My Copy] In Proc. 16th International Conf. on Machine Learning (1999), pp. 278-287. by Andrew Y. Ng, Daishi Harada, Stuart Russell posted to rl by dowlingj on 2008-08-05 08:16:34 as
	Multi-agent reinforcement learning: a critical survey [My Copy] (2003) by Y. Shoham, R. Powers, T. Grenager posted to idea rl by yarapavan on 2008-06-08 18:53:09 as along with 4 people ddahlem mangesh dowlingj arturo_servin
	A Comparative Study of Parallel Reinforcement Learning Methods with a PC Cluster System [My Copy] In IAT '06: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology (2006), pp. 416-419. by Masayuki Kushida, Kenichi Takahashi, Hiroaki Ueda, Tetsuhiro Miyahara posted to parallel rl by luciotorre on 2008-04-26 10:23:10 as along with 2 people ddahlem dowlingj
	Parallel Reinforcement Learning [My Copy] by Matthew R. Kretchmar posted to parallel rl by luciotorre on 2008-04-26 07:53:12 as
	Rapid, safe, and incremental learning of navigation strategies [My Copy] Systems, Man, and Cybernetics, Part B, IEEE Transactions on In Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 26, No. 3. (1996), pp. 408-420. by Millan posted to bias rl by luciotorre on 2008-04-25 18:41:52 as
	On Amount and Quality of Bias in Reinforcement Learning [My Copy] by G. Hailu, G. Sommer posted to bias rl by luciotorre on 2008-04-25 18:26:15 as
	Learning Options in Reinforcement Learning [My Copy] by Martin Stolle, Doina Precup posted to options rl by luciotorre on 2008-04-25 18:25:01 as along with 1 person cez_etc
	Trajectory Optimization using Reinforcement Learning for Map Exploration [My Copy] The International Journal of Robotics Research, Vol. 27, No. 2. (1 February 2008), pp. 175-196. by Thomas Kollar, Nicholas Roy posted to informationgain rl robotics slam trajectoryoptimization by tkollar on 2008-04-14 16:32:26 as
	Memory Approaches To Reinforcement Learning In Non-Markovian Domains [My Copy] No. CMU-CS-92-138. (1992) by L. J. Lin, T. M. Mitchell posted to rl thesis by Nightscape on 2008-03-13 13:28:47 as
	Emergent control and planning in an autonomous vehicle [My Copy] In Proceedings of the Fifteenth Annual Meeting of the Cognitive Science Society (1993), pp. 735-740. by Lisa Meeden, G. Mcgraw, D. Blank edited by D. S. Touretsky posted to learning reinforcement rl thesis by Nightscape on 2008-03-13 13:14:37 as
	On the Gittins Index for Multiarmed Bandits [My Copy] The Annals of Applied Probability, Vol. 2, No. 4. (1992), pp. 1024-1033. by Richard Weber posted to bandits decision_theory rl by jsr on 2008-03-05 11:06:25 as
	Incremental Multi-Step Q-Learning [My Copy] In International Conference on Machine Learning (1994), pp. 226-232. by Jing Peng, Ronald J. Williams posted to rl thesis by Nightscape on 2008-02-25 12:03:01 as
	PAC model-free reinforcement learning [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 881-888. by Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman posted to mathematics rl thesis by Nightscape on 2008-02-25 11:57:11 as along with 1 person dowlingj
	Toward a modern theory of adaptive networks: expectation and prediction. [My Copy] Psychol Rev, Vol. 88, No. 2. (March 1981), pp. 135-170. by R. S. Sutton, A. G. Barto posted to rl by fbernardo on 2008-02-04 15:04:53 as along with 3 people apeyrache pgastrein stain
	A reinforcement learning approach to Job-shop Scheduling [My Copy] In Proceedings of the International Joint Conference on Artificial Intellience (1995) by W. Zhang, T. G. Dietterich posted to rl by fbernardo on 2008-02-04 14:35:27 as
	Elevator Group Control Using Multiple Reinforcement Learning Agents [My Copy] Machine Learning, Vol. 33, No. 2. (1 November 1998), pp. 235-262. by Robert H. Crites, Andrew G. Barto posted to rl by fbernardo on 2008-02-04 14:11:20 as along with 1 person nicholasflann
	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 rl by fbernardo on 2008-02-04 14:04:30 as along with 2 people ddahlem benoitstpierre
	A Q-learning-based dynamic channel assignment technique for mobile communication systems [My Copy] Vehicular Technology, IEEE Transactions on In Vehicular Technology, IEEE Transactions on, Vol. 48, No. 5. (1999), pp. 1676-1687. by Junhong Nie, S. Haykin posted to rl by fbernardo on 2008-01-29 14:30:40 as
	Dynamic channel assignment in cellular networks: a reinforcement learning solution [My Copy] Telecommunications, 2003. ICT 2003. 10th International Conference on In Telecommunications, 2003. ICT 2003. 10th International Conference on, Vol. 1 (2003), pp. 302-309 vol.1. by S. M. Senouci, G. Pujoile posted to rl by fbernardo on 2008-01-29 11:59:50 as
	A dynamic channel assignment policy through Q-learning [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 10, No. 6. (1999), pp. 1443-1455. by Junhong Nie, S. Haykin posted to rl by fbernardo on 2008-01-29 11:59:03 as
	Dynamic channel allocation for mobile cellular traffic using reduced-state reinforcement learning [My Copy] Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE In Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE, Vol. 4 (2004), pp. 2195-2200 Vol.4. by N. Lilith, K. Dogancay posted to rl by fbernardo on 2008-01-29 11:50:41 as
	Simple statistical gradient-following algorithms for connectionist reinforcement learning [My Copy] Machine Learning, Vol. 8, No. 3. (1 May 1992), pp. 229-256. by Ronald J. Williams posted to rl by fbernardo on 2008-01-29 11:35:11 as along with 3 people and 1 group garyfeng haidai awarlau ReadingLab

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