Event section: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » 25th International Conference on Machine Learning (ICML), Helsinki 2008 » Reinforcement Learning Reinforcement Learning

event header image

Reinforcement Learning

Categories

Top » Computer Science » Machine Learning » Reinforcement Learning

Event sections

Home Workshops Invited talks Award Paper Joint Session

Reinforcement Learning


Reinforcement Learning 1 - Domain Representation
[syn] 5247 views, 23:35 An Object-Oriented Representation for Efficient Reinforcement LearningAn Object-Oriented Representation for Efficient Reinforcement Learning Carlos Diuk Carlos Diuk	[syn] 5166 views, 26:14 Hierarchical Model-Based Reinforcement LearningHierarchical Model-Based Reinforcement Learning Nicholas Jong Nicholas Jong	[syn] 3509 views, 22:45 On the Hardness of Finding Symmetries in Markov Decision ProcessesOn the Hardness of Finding Symmetries in Markov Decision Processes Balaraman Ravindran Balaraman Ravindran	[syn] 3728 views, 24:34 Reinforcement Learning in the Presence of Rare EventsReinforcement Learning in the Presence of Rare Events Jordan Frank Jordan Frank
Reinforcement Learning 2 - Value Representation and Online Learning
[syn] 4304 views, 25:00 Online Kernel Selection for Bayesian Reinforcement LearningOnline Kernel Selection for Bayesian Reinforcement Learning Joseph Reisinger Joseph Reisinger	[syn] 3089 views, 22:01 On-line Discovery of Temporal-Difference NetworksOn-line Discovery of Temporal-Difference Networks Takaki Makino Takaki Makino	[syn] 2973 views, 18:42 Prediction with Expert Advice for the Brier GamePrediction with Expert Advice for the Brier Game Fedor Zhdanov Fedor Zhdanov
Reinforcement Learning 3
[syn] 3064 views, 28:40 Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational DomainsNon-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational ... Kurt Driessens Kurt Driessens	[syn] 3985 views, 23:09 Space-indexed Dynamic Programming: Learning to Follow TrajectoriesSpace-indexed Dynamic Programming: Learning to Follow Trajectories J. Zico Kolter J. Zico Kolter	[syn] 3500 views, 27:38 Privacy-Preserving Reinforcement LearningPrivacy-Preserving Reinforcement Learning Jun Sakuma Jun Sakuma	[syn] 3033 views, 18:21 Learning All Optimal Policies with Multiple CriteriaLearning All Optimal Policies with Multiple Criteria Leon Barrett Leon Barrett
Reinforcement Learning 4 - Active Learning
[syn] 5210 views, 25:11 Active Reinforcement LearningActive Reinforcement Learning Arkady Epshteyn Arkady Epshteyn	[syn] 5752 views, 19:59 Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPsReinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active ... Finale Doshi Finale Doshi	[syn] 3183 views, 24:33 The Many Faces of Optimism: a Unifying ApproachThe Many Faces of Optimism: a Unifying Approach Istvan Szita Istvan Szita	[syn] 3546 views, 29:28 Transfer of Samples in Batch Reinforcement LearningTransfer of Samples in Batch Reinforcement Learning Alessandro Lazaric Alessandro Lazaric	[syn] 3030 views, 24:13 Exploration ScavengingExploration Scavenging Alexander Strehl Alexander Strehl
Reinforcement Learning 5
[syn] 4626 views, 26:11 An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection for Reinforcement LearningAn Analysis of Linear Models, Linear Value-Function Approximation, and Feature ... Ronald Parr Ronald Parr	[syn] 5582 views, 19:04 An Analysis of Reinforcement Learning with Function ApproximationAn Analysis of Reinforcement Learning with Function Approximation Francisco S. Melo Francisco S. Melo	[syn] 4297 views, 24:41 Apprenticeship Learning Using Linear ProgrammingApprenticeship Learning Using Linear Programming Umar Syed Umar Syed	[syn] 3268 views, 24:32 Preconditioned Temporal Difference LearningPreconditioned Temporal Difference Learning Hengshuai Yao Hengshuai Yao
Reinforcement Learning 6
[syn] 3253 views, 27:58 Automatic Discovery and Transfer of MAXQ HierarchiesAutomatic Discovery and Transfer of MAXQ Hierarchies Neville Mehta Neville Mehta	[syn] 3448 views, 22:16 Sample-Based Learning and Search with Permanent and Transient MemoriesSample-Based Learning and Search with Permanent and Transient Memories David Silver David Silver	[syn] 4505 views, 28:04 Efficiently Learning Linear-Linear Exponential Family Predictive Representations of StateEfficiently Learning Linear-Linear Exponential Family Predictive Representations of State Satinder Singh Satinder Singh	[syn] 2975 views, 27:03 A Semi-parametric Statistical Approach to Model-free Policy EvaluationA Semi-parametric Statistical Approach to Model-free Policy Evaluation Tsuyoshi Ueno Tsuyoshi Ueno

Write your own review or comment:

Comment:
Name:
Email address:
URL:

make sure you have javascript enabled or clear this field: