Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning
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Published By Springer Berlin Heidelberg

9783642299452, 9783642299469

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MapReduce for Parallel Reinforcement Learning

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_30 ◽

2012 ◽

pp. 309-320 ◽

Cited By ~ 5

Author(s):

Yuxi Li ◽

Dale Schuurmans

Keyword(s):

Reinforcement Learning

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Gradient Based Algorithms with Loss Functions and Kernels for Improved On-Policy Control

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_7 ◽

2012 ◽

pp. 30-41

Author(s):

Matthew Robards ◽

Peter Sunehag

Keyword(s):

Loss Functions ◽

Policy Control ◽

Gradient Based

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An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_26 ◽

2012 ◽

pp. 261-272

Author(s):

Ioannis Lambrou ◽

Vassilis Vassiliades ◽

Chris Christodoulou

Keyword(s):

Reinforcement Learning ◽

Learning Algorithm ◽

Hierarchical Reinforcement Learning ◽

Reinforcement Learning Algorithm

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Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_2 ◽

2012 ◽

pp. 2-2

Author(s):

Kristian Kersting

Keyword(s):

Reinforcement Learning ◽

Representational Power

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Invited Talk: UCRL and Autonomous Exploration

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_1 ◽

2012 ◽

pp. 1-1

Author(s):

Peter Auer

Keyword(s):

Autonomous Exploration

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Multi-Task Reinforcement Learning: Shaping and Feature Selection

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_24 ◽

2012 ◽

pp. 237-248 ◽

Cited By ~ 3

Author(s):

Matthijs Snel ◽

Shimon Whiteson

Keyword(s):

Feature Selection ◽

Reinforcement Learning

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Bayesian Multitask Inverse Reinforcement Learning

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_27 ◽

2012 ◽

pp. 273-284 ◽

Cited By ~ 15

Author(s):

Christos Dimitrakakis ◽

Constantin A. Rothkopf

Keyword(s):

Reinforcement Learning ◽

Inverse Reinforcement Learning

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Robust Bayesian Reinforcement Learning through Tight Lower Bounds

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_19 ◽

2012 ◽

pp. 177-188 ◽

Cited By ~ 1

Author(s):

Christos Dimitrakakis

Keyword(s):

Reinforcement Learning ◽

Lower Bounds ◽

Bayesian Reinforcement Learning

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Invited Talk: Towards Robust Reinforcement Learning Algorithms

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_4 ◽

2012 ◽

pp. 4-4

Author(s):

Csaba Szepesvári

Keyword(s):

Reinforcement Learning ◽

Learning Algorithms

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Regularized Least Squares Temporal Difference Learning with Nested ℓ2 and ℓ1 Penalization

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_13 ◽

2012 ◽

pp. 102-114 ◽

Cited By ~ 7

Author(s):

Matthew W. Hoffman ◽

Alessandro Lazaric ◽

Mohammad Ghavamzadeh ◽

Rémi Munos

Keyword(s):

Least Squares ◽

Temporal Difference ◽

Temporal Difference Learning ◽

Regularized Least Squares

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Lecture Notes in Computer Science - Recent Advances in Reinforcement LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

MapReduce for Parallel Reinforcement Learning

Gradient Based Algorithms with Loss Functions and Kernels for Improved On-Policy Control

An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings

Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning

Invited Talk: UCRL and Autonomous Exploration

Multi-Task Reinforcement Learning: Shaping and Feature Selection

Bayesian Multitask Inverse Reinforcement Learning

Robust Bayesian Reinforcement Learning through Tight Lower Bounds

Invited Talk: Towards Robust Reinforcement Learning Algorithms

Regularized Least Squares Temporal Difference Learning with Nested ℓ2 and ℓ1 Penalization

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning
Latest Publications