tdahl's library 34 articles Export

	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 function_approximation reinforcement_learning by tdahl on 2008-09-27 16:04:46 as
	Line-less Production System Using Self-Organization: A Case Study for BMS [My Copy] CIRP Annals - Manufacturing Technology, Vol. 50, No. 1. (2001), pp. 319-322. by K. Ueda, I. Hatono, N. Fujii, J. Vaario posted to emergence manufacturing by tdahl on 2008-08-26 10:22:18 as
	Applications of agent-based systems in intelligent manufacturing: An updated review [My Copy] Advanced Engineering Informatics, Vol. 20, No. 4. (October 2006), pp. 415-431. by Weiming Shen, Qi Hao, Hyun J. Yoon, Douglas H. Norrie posted to agents manufacturing survey by tdahl on 2008-08-26 10:19:40 as
	Piecewise-Linear Pattern Generator and Reflex System for Humanoid Robots [My Copy] Robotics and Automation, 2007 IEEE International Conference on In Robotics and Automation, 2007 IEEE International Conference on (2007), pp. 2188-2195. by R. Zaier, S. Kanda posted to behaviour_representation central_pattern_generators neural_network reflexes by tdahl on 2008-08-26 10:15:22 as
	A tutorial on hidden Markov models and selected applications in speech recognition [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 77, No. 2. (06 August 2002), pp. 257-286. by L. R. Rabiner posted to markov_models model_based by tdahl on 2008-08-26 09:47:56 as along with 54 people and 8 groups cpeters amoreno bklynbam ianhales pascanur mtecha roys wasteland93 tkollar matjes mthomure hawkes db344 ashleygeorge rodri mhp0814 yonatanf gkoenig muraken robotact albert_swart gulkur sergut ppeeling alexr pcahan1 mdhussein mcastillo daveh neveaire pool007 gonza_bp takahi jford neilc pratap bcroy tkravitz dominikschmidt sancho Alice2Nice zeppe karthik_ravikanti poluxmoon sachina maxp tgyork asterix77 yangxian ulmer julianpan rlichten wenhan huangsong searchingspeech2010 MiGen Project Autoregulation Biostatistics Computational-Genomics Bioinformatics Neuroscience MAML
	Hierarchical policy gradient algorithms [My Copy] In in Marine Environments, Vol. 18 (2003), pp. 226-233. by Mohammad Ghavamzadeh, Sridhar Mahadevan posted to hierarchical policy_gradient reinforcement_learning by tdahl on 2008-08-26 09:43:02 as
	Policy gradient methods for reinforcement learning with function approximation [My Copy] In In Advances in Neural Information Processing Systems 12, Vol. 12 (2000), pp. 1057-1063. by Richard S. Sutton, David Mcallester, Satinder Singh, Yishay Mansour posted to policy_gradient reinforcement_learning by tdahl on 2008-08-26 09:40:39 as
	Measuring consciousness: relating behavioural and neurophysiological approaches [My Copy] Trends in Cognitive Sciences, Vol. In Press, Corrected Proof by Anil K. Seth, Zoltán Dienes, Axel Cleeremans, Morten Overgaard, Luiz Pessoa posted to consciousness psychology neuroscience by tdahl on 2008-08-26 09:36:15 as along with 5 people corcoran nishiokov rebeccamancy tbloomf jilu
	Dimensions in data: testing psychological models using state-trace analysis [My Copy] Trends in Cognitive Sciences, Vol. In Press, Corrected Proof by Ben R. Newell, John C. Dunn posted to behaviour_representation psychology by tdahl on 2008-08-26 09:35:00 as along with 1 person nkishan
	Reinforcement learning with perceptual aliasing: The perceptual distinctions approach [My Copy] In In Proceedings of the Tenth National Conference on Artificial Intelligence (1992), pp. 183-188. by Lonnie Chrisman posted to hidden_state model_based reinforcement_learning by tdahl on 2008-08-11 21:17:18 as
	Overcoming incomplete perception with utile distinction memory [My Copy] In In Proceedings of the Tenth International Conference on Machine Learning (1993), pp. 190-196. by Andrew R. Mccallum posted to hidden_state model_based reinforcement_learning by tdahl on 2008-08-11 21:13:26 as
	Applications of the self-organising map to reinforcement learning [My Copy] Neural Networks, Vol. 15, No. 15. (2002), pp. 1107-1124. by Andrew J. Smith posted to reinforcement_learning self_organizing_maps by tdahl on 2008-07-15 22:36:10 as
	Real-time hierarchical POMDPs for autonomous robot navigation [My Copy] by A. Foka, P. Trahanias posted to hierarchical model_based reinforcement_learning by tdahl on 2008-07-15 22:23:55 as
	Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots [My Copy] In Proc. 17th International Conf. on Machine Learning (2000), pp. 671-678. by Daniel Nikovski, Illah Nourbakhsh posted to hidden_state model_based reinforcement_learning by tdahl on 2008-07-15 22:19:36 as
	Learning hierarchical partially observable markov decision processes for robot navigation [My Copy] (2001) by G. Theocharous, K. Rohanimanesh, S. Mahadevan posted to hidden_state hierarchical model_based reinforcement_learning by tdahl on 2008-07-15 22:17:04 as
	A Survey of Model-Based and Model-Free Methods for Resolving Perceptual Aliasing [My Copy] (2004) by Guy Shani posted to hidden_state model_based reinforcement_learning survey by tdahl on 2008-07-15 22:14:22 as
	Cortex And Mind: Unifying Cognition [My Copy] (30 September 2005) by Joaquin M. Fuster posted to hierarchical human_learning neuroscience by tdahl on 2008-07-15 22:01:15 as along with 1 person and 2 groups wenhsin Neuroscience LanguageAndBrain
	How hierarchical control self-organizes in artificial adaptive systems [My Copy] Adaptive Behavior, Vol. 13, No. 13. (2005) by Rainer W. Paine, Jun Tani, Rainer W. Paine, Jun Tani posted to hierarchical model_based reinforcement_learning by tdahl on 2008-07-15 21:58:23 as
	Model Based Learning for Mobile Robot Navigation from the Dynamical Systems Perspective [My Copy] IEEE Trans. Syst. Man and Cybern. B, Vol. 26, No. 3. (1996), pp. 421-436. by J. Tani posted to hierarchical model_based neural_network reinforcement_learning by tdahl on 2008-07-15 21:55:23 as
	HQ-Learning [My Copy] Adaptive Behavior, Vol. 6, No. 2. (1997), pp. 219-246. by M. Wiering, J. Schmidhuber posted to hierarchical reinforcement_learning by tdahl on 2008-07-15 21:52:51 as
	Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density [My Copy] In ICML (2001), pp. 361-368. by Amy Mcgovern, Andrew G. Barto edited by Carla E. Brodley, Andrea P. Danyluk, Carla E. Brodley, Andrea P. Danyluk posted to hierarchical reinforcement_learning by tdahl on 2008-07-15 14:55:51 as
	Hidden state and reinforcement learning with instance-based state identification [My Copy] by A. Mccallum posted to hidden_state instance_based reinforcement_learning by tdahl on 2008-07-15 14:51:42 as
	Finding Structure in Reinforcement Learning [My Copy] In Advances in Neural Information Processing Systems, Vol. 7 (1995), pp. 385-392. by Sebastian Thrun, Anton Schwartz edited by G. Tesauro, D. Touretzky, T. Leen posted to hierarchical reinforcement_learning by tdahl on 2008-07-15 14:49:00 as
	Discovering hierarchy in reinforcement learning with hexq [My Copy] (2002) by B. Hengst posted to hierarchical reinforcement_learning by tdahl on 2008-07-15 14:46:09 as along with 2 people Cavadini studentx
	The evolution of learning [My Copy] Biological Reviews, Vol. 79, No. 2. (2004), pp. 301-335. by Bruce R. Moore posted to animal_learning evolution by tdahl on 2008-05-01 10:24:13 as
	Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) [My Copy] (08 May 1998) by Richard S. Sutton, Andrew G. Barto posted to introduction reinforcement_learning survey by tdahl on 2008-05-01 10:21:09 as along with 25 people and 2 groups dowlingj ngoncalves cez_etc ddahlem pshenoy yarapavan robotact brian jerlich klouie oamg anoopsarkar creswick kmregan garyfeng mrkrause stain gonium nelmor awooga mzygmunt mak bsilverthorn fbernardo lrozo Glimcher_Lab ReadingLab
	Overcoming Incomplete Perception with Utile Distinction Memory [My Copy] In International Conference on Machine Learning (1993), pp. 190-196. by Andrew Mccallum posted to reinforcement_learning by tdahl on 2008-03-08 21:52:40 as
	Reinforcement Learning with Hierarchies of Machines [My Copy] In Advances in Neural Information Processing Systems, Vol. 10 (1997) by Ronald Parr, Stuart Russell edited by Michael I. Jordan, Michael J. Kearns, Sara A. Solla posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:45:45 as along with 1 person Blza
	Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition [My Copy] Journal of Artificial Intelligence Research, Vol. 13 (2000), pp. 227-303. by Thomas G. Dietterich posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:45:06 as along with 2 people rwm101 Maderlock
	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 P. Singh posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:43:21 as along with 1 person Scis0000002
	Hierarchical reinforcement learning based on subgoal discovery and subpolicy specialization: First experiments with the HASSLE algorithm [My Copy] (2003) by B. Bakker, J. Schmidhuber posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 21:40:04 as along with 1 person scis0000001
	Reinforcement Learning: A Survey [My Copy] Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285. by Leslie P. Kaelbling, Michael L. Littman, Andrew P. Moore posted to reinforcement_learning survey by tdahl on 2008-03-08 21:38:23 as along with 25 people and 5 groups naveer merdem aristodemos truonghuy yarapavan KurtSteinkraus eldan unnonouno dep vaasu cyph3r davidmihalcik craigtalbert damcci hllee lop afoerster gagliol sugarexpletive mzygmunt dowlingj josepe docB bach Tominator Glimcher_Lab Netmob P2P SensorNetworks kickOffTUG-Robocup
	Recent advances in hierarchical reinforcement learning [My Copy] (2003) by A. Barto, S. Mahadevan posted to hierarchical reinforcement_learning survey by tdahl on 2008-03-08 21:35:11 as along with 1 person trvs2cool
	Self-segmentation of Sequences: Automatic Formation of Hierarchies of Sequential Behaviors [My Copy] No. 609951-2781. (1999) by R. Sun, C. Sessions posted to hierarchical reinforcement_learning by tdahl on 2008-03-08 20:03:23 as

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reinforcement_learning	26
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behaviour_representation	2
psychology	2
neuroscience	2
policy_gradient	2
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introduction	1
instance_based	1
reflexes	1
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self_organizing_maps	1
agents	1
function_approximation	1
consciousness	1
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tdahl's library 34 articles Export

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