Cavadini's reinforcement [39 articles] Export

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	Reinforcement Learning: An Introduction [My Copy] (1998) by Richard S. Sutton, Andrew G. Barto edited by M. I. T. Press posted to reinforcement learning by Cavadini on 2009-11-03 13:41:38 as
	Efficient reinforcement learning: computational theories, neuroscience and robotics. [My Copy] Current opinion in neurobiology, Vol. 17, No. 2. (April 2007), pp. 205-212. by M. Kawato, K. Samejima posted to learning reinforcement by Cavadini on 2008-05-16 11:56:38 as
	Empirical Studies in Action Selection with Reinforcement Learning [My Copy] Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, Vol. 15, No. 1. (March 2007), pp. 33-50. by Shimon Whiteson, Matthew E. Taylor, Peter Stone posted to action_selection evolutionary learning reinforcement by Cavadini on 2008-02-11 07:08:49 as
	Incremental Natural Actor-Critic Algorithms [My Copy] (2008) by S. Bhatnagar, R. S. Sutton, M. Ghavamzadeh, M. Lee posted to actor-critic reinforcement by Cavadini on 2008-02-05 09:29:02 as
	Analyzing feature generation for value-function approximation [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 737-744. by Ronald Parr, Christopher Painter-Wakefield, Lihong Li, Michael Littman posted to feaure_selection learning reinforcement by Cavadini on 2008-01-23 10:23:58 as
	Feature Selection by Combining Fisher Criterion and Principal Feature Analysis [My Copy] Machine Learning and Cybernetics, 2007 International Conference on In Machine Learning and Cybernetics, 2007 International Conference on, Vol. 2 (2007), pp. 1149-1154. by Sa Wang, Cheng-Lin Liu, Lian Zheng posted to feaure_selection learning reinforcement by Cavadini on 2008-01-23 10:20:11 as
	Towards Feature Selection In Actor-Critic Algorithms [My Copy] (November 2007) by Khashayar Rohanimanesh, Nicholas Roy, Russ Tedrake posted to feaure_selection learning reinforcement by Cavadini on 2008-01-23 10:10:06 as
	Fast reinforcement learning using stochastic shortest paths for a mobile robot [My Copy] Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on In Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on (2007), pp. 82-87. by Wooyoung Kwon, Il H. Suh, Sanghoon Lee, Young-Jo Cho posted to reinforcement by Cavadini on 2008-01-15 10:20:40 as along with 1 person AlainDutech
	Model-Based Exploration in Continuous State Spaces [My Copy] Abstraction, Reformulation, and Approximation (2007), pp. 258-272. by Nicholas Jong, Peter Stone posted to continuous_space model-based reinforcement by Cavadini on 2008-01-15 10:20:15 as
	A Novel ANN Model Based on Quantum Computational MAS Theory [My Copy] Bio-Inspired Computational Intelligence and Applications (2007), pp. 28-35. by Xiangping Meng, Jianzhong Wang, Yuzhen Pi, Quande Yuan posted to neural_network reinforcement by Cavadini on 2008-01-15 10:06:51 as
	Hyper-cubic discretization for TD learning based on autonomous decentralized approach [My Copy] Systems, Man and Cybernetics, 2003. IEEE International Conference on In Systems, Man and Cybernetics, 2003. IEEE International Conference on, Vol. 4 (2003), pp. 3633-3638 vol.4. by Y. Kobayashi, S. Hosoe posted to function_approximation learning reinforcement by Cavadini on 2008-01-15 09:43:41 as
	Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs [My Copy] Machine Learning: ECML 2007 (2007), pp. 250-261. by Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass posted to learning model-based reinforcement by Cavadini on 2008-01-14 14:08:00 as
	Reinforcement Learning State Estimator [My Copy] Neural Comput., Vol. 19, No. 3. (March 2007), pp. 730-756. by Jun Morimoto, Kenji Doya posted to learning reinforcement state_estimation by Cavadini on 2008-01-14 14:06:13 as
	Fast Reinforcement Learning for Vision-guided Mobile Robots [My Copy] Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on In Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on (2005), pp. 4170-4175. by T. Martinez-Marin, T. Duckett posted to learning model-based reinforcement by Cavadini on 2008-01-14 13:53:39 as along with 1 person AlainDutech
	Improving reinforcement learning with context detection [My Copy] In AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006), pp. 810-812. by Bruno C. da Silva, Eduardo W. Basso, Filipo S. Perotto, Ana L. C. Bazzan, Paulo M. Engel posted to context learning model-based reinforcement by Cavadini on 2008-01-14 13:50:35 as
	Graph kernels and Gaussian processes for relational reinforcement learning [My Copy] Machine Learning, Vol. 64, No. 1. (2006), pp. 91-119. by Kurt Driessens, Jan Ramon, Thomas Gärtner posted to learning reinforcement relational by Cavadini on 2008-01-14 09:31:24 as
	A Neuro-Fuzzy Inference System Through Integration of Fuzzy Logic and Extreme Learning Machines [My Copy] Systems, Man, and Cybernetics, Part B, IEEE Transactions on In Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 37, No. 5. (2007), pp. 1321-1331. by Zhan-Li Sun, Kin-Fan Au, Tsan-Ming Choi posted to fuzzy learning reinforcement by Cavadini on 2008-01-11 14:48:23 as
	A Novel Q-Learning Approach with Continuous States and Actions [My Copy] Intelligent Control, 2007. ISIC 2007. IEEE 22nd International Symposium on In Intelligent Control, 2007. ISIC 2007. IEEE 22nd International Symposium on (2007), pp. 18-23. by Yi Zhou, Meng J. Er posted to fuzzy learning reinforcement by Cavadini on 2008-01-11 14:45:14 as
	Fuzzy Q-learning with the modified fuzzy ART neural network [My Copy] Intelligent Agent Technology, IEEE/WIC/ACM International Conference on In Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2005), pp. 308-315. by H. Ueda, N. Hanada, H. Kimoto, T. Naraki, K. Takahashi, T. Miyahara posted to fuzzy learning reinforcement by Cavadini on 2008-01-11 14:38:28 as
	A fuzzy Actor-Critic reinforcement learning network [My Copy] Information Sciences, Vol. 177, No. 18. (15 September 2007), pp. 3764-3781. by Xue-Song Wang, Yu-Hu Cheng, Jian-Qiang Yi posted to actor-critic fuzzy learning reinforcement by Cavadini on 2008-01-11 08:50:07 as
	Online Reinforcement Learning Neural Network Controller Design for Nanomanipulation [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. 225-232. by Qinmin Yang, S. Jagannathan posted to learning lyapunov neural_network reinforcement by Cavadini on 2008-01-11 08:45:47 as
	Neural Reinforcement Learning Controllers for a Real Robot Application [My Copy] Robotics and Automation, 2007 IEEE International Conference on In Robotics and Automation, 2007 IEEE International Conference on (2007), pp. 2098-2103. by R. Hafner, M. Riedmiller posted to learning neural_network reinforcement by Cavadini on 2008-01-11 08:41:54 as
	A Novel Neural Network Based Reinforcement Learning [My Copy] Bio-Inspired Computational Intelligence and Applications (2007), pp. 46-54. by Jian Fan, Yang Song, Minrui Fei, Qijie Zhao posted to continuous_space learning neural_network reinforcement by Cavadini on 2008-01-11 08:38:03 as
	Extend Single-agent Reinforcement Learning Approach to a Multi-robot Cooperative Task in an Unknown Dynamic Environment [My Copy] Neural Networks, 2006. IJCNN '06. International Joint Conference on In Neural Networks, 2006. IJCNN '06. International Joint Conference on (2006), pp. 4999-5005. by Ying Wang, C. W. de Silva posted to dynamic_environment learning multi_agent reinforcement by Cavadini on 2007-10-04 12:09:53 as
	Self Organizing Decision Tree Based on Reinforcement Learning and its Application on State Space Partition [My Copy] Systems, Man and Cybernetics, 2006. ICSMC '06. IEEE International Conference on In Systems, Man and Cybernetics, 2006. ICSMC '06. IEEE International Conference on, Vol. 6 (2006), pp. 5088-5093. by Kao-Shing Hwang, Tsung-Wen Yang, Chia-Ju Lin posted to continuous_space learning reinforcement tree_based by Cavadini on 2007-10-03 15:04:01 as
	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 continuous_action learning reinforcement by Cavadini on 2007-10-03 09:22:50 as along with 1 person stober
	Tree Based Discretization for Continuous State Space Reinforcement Learning [My Copy] In AAAI/IAAI (1998), pp. 769-774. by William T. B. Uther, Manuela M. Veloso posted to continuous_time learning reinforcement tree_based by Cavadini on 2007-10-03 09:19:30 as
	Reinforcement Distribution in Continuous State Action Space Fuzzy Q–Learning: A Novel Approach [My Copy] Fuzzy Logic and Applications (2006), pp. 40-45. by Andrea Bonarini, Francesco Montrone, Marcello Restelli posted to continuous_time fuzzy learning reinforcement by Cavadini on 2007-10-03 09:16:30 as
	Reinforcement Learning in Continuous Time and Space [My Copy] Neural Comput., Vol. 12, No. 1. (January 2000), pp. 219-245. by Kenji Doya posted to continuous_time learning reinforcement by Cavadini on 2007-10-03 09:14:29 as
	Continuous-Time Hierarchial Reinforcement Learning [My Copy] In Proc. 18th International Conf. on Machine Learning (2001), pp. 186-193. by Mohammad Ghavamzadeh, Sridhar Mahadevan posted to algorithm continuous_time hierarchical learning reinforcement by Cavadini on 2007-09-28 11:16:42 as along with 1 person cez_etc
	Learning and Approximate Dynamic Programming - Scaling Up to the Real World [My Copy] by Jennie Si, Andy Barto, Warren Powell, Donald posted to learning real_world reinforcement survey by Cavadini on 2007-09-28 10:11:22 as
	Using relative novelty to identify useful temporal abstractions in reinforcement learning [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004) by Şimşek, A. G. Barto posted to abstraction hierarchical learning reinforcement by Cavadini on 2007-09-25 16:00:54 as
	Decision-Theoretic Planning with Concurrent Temporally Extended Actions [My Copy] In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, pp. 472-479. by Khashayar Rohanimanesh, Sridhar Mahadevan posted to concurrent learning options reinforcement temporally_extended by Cavadini on 2007-09-25 15:57:01 as
	Coarticulation: an approach for generating concurrent plans in Markov decision processes [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 720-727. by Khashayar Rohanimanesh, Sridhar Mahadevan posted to algorithm coarticulation concurrent learning reinforcement by Cavadini on 2007-09-25 15:52:21 as
	Discovering hierarchy in reinforcement learning with hexq [My Copy] (2002) by B. Hengst posted to hexq hierarchical homomorphism learning reinforcement by Cavadini on 2007-09-25 15:50:17 as along with 2 people studentx tdahl
	Discovering multiple levels of a task hierarchy concurrently [My Copy] Robotics and Autonomous Systems In Knowledge Engineering and Ontologies for Autonomous Systems 2004 AAAI Spring Symposium, Vol. 49, No. 1-2. (30 November 2004), pp. 43-55. by Duncan Potts, Bernhard Hengst posted to hexq hierarchical learning reinforcement by Cavadini on 2007-09-25 15:46:03 as
	An Architecture for Behavior-Based Reinforcement Learning [My Copy] Adaptive Behavior, Vol. 13, No. 1. (1 March 2005), pp. 5-32. by G. D. Konidaris, G. M. Hayes posted to behavior learning reinforcement by Cavadini on 2007-09-25 15:43:24 as
	Learning Skills in Reinforcement Learning Using Relative Novelty [My Copy] Abstraction, Reformulation and Approximation (2005), pp. 367-374. by Özgür Şimşek, Andrew G. Barto posted to learning reinforcement skill by Cavadini on 2007-09-25 15:41:31 as
	Recent Advances in Hierarchical Reinforcement Learning [My Copy] Discrete Event Dynamic Systems, Vol. 13, No. 4. (1 October 2003), pp. 341-379. by Andrew G. Barto, Sridhar Mahadevan posted to hierarchical learning reinforcement survey by Cavadini on 2007-09-25 15:38:55 as along with 2 people ethan_selfridge creswick

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learning	75
grasping	45
reinforcement	39
developmental	36
human_learning	22
neural_network	17
lwpr	16
abstraction	14
hierarchical	14
function_approximation	13
fuzzy	13
anticipatory_learning	11
survey	9
manipulation	8
object_manipulation	8
robotics	8
actor-critic	7
continuous_space	7
knowledge	7
input_selection	6
behavior	5
continuous_time	5
control	5
evolutionary	5
hand	5
induction	5
inverse_kinematic	5
motivational	5
online	5
bayesian	4
finger	4
human_side	4
intrinsic	4
model-based	4
ontology	4
policy_gradient	4
algorithm	3
causal_relation	3
concurrent	3
feaure_selection	3
geometry	3
high_dimensions	3
lcs	3
mental	3
nonlinear	3
options	3
real_world	3
schema_learning	3
skill	3
tree_based	3
action_selection	2
context	2
decision_tree	2
dexterous	2
dimensionality_reduction	2
freezed_dof	2
generalization	2
hexq	2
hybrid	2
imitation	2
incremental	2
inverse_dynamics	2
manipulator	2
model_learning	2
multi_agent	2
natural	2
off-policy	2
physiology	2
planning	2
plasticity	2
reward	2
systems	2
tactile	2
vision	2
adaptive	1
coarticulation	1
communication	1
computational_model	1
continuous_action	1
dimension_reduction	1
discretization	1
dynamic_environment	1
experimental	1
force_measurements	1
forces	1
gaussian_processes	1
graspin	1
homomorphism	1
information	1
intelligent_agents	1
kephera	1
lyapunov	1
motor_learning	1
neat	1
neuromodulation	1
nullspace	1
object	1
optimal	1
optimization	1
partitioning	1
prediction	1
probabilistic	1
pushing	1
rbf	1
reduction	1
relational	1
self-exploration	1
self_structuring	1
sliding_contacts	1
state_estimation	1
statistical	1
temporally_extended	1
value_systems	1
virtual_finger	1

Cavadini's reinforcement [39 articles] Export

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