2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
Latest Publications

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Published By IEEE

9781424427611

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Neuro-controller of cement rotary kiln temperature with adaptive critic designs

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927551 ◽

2009 ◽

Cited By ~ 1

Author(s):

Xiaofeng Lin ◽

Tangbo Liu ◽

Shaojian Song ◽

Chunning Song

Keyword(s):

Rotary Kiln ◽

Adaptive Critic ◽

Adaptive Critic Designs ◽

Kiln Temperature ◽

Neuro Controller

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The QV family compared to other reinforcement learning algorithms

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927532 ◽

2009 ◽

Cited By ~ 13

Author(s):

Marco A. Wiering ◽

Hado van Hasselt

Keyword(s):

Reinforcement Learning ◽

Learning Algorithms

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Bounds of optimal learning

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927545 ◽

2009 ◽

Cited By ~ 2

Author(s):

Roman V. Belavkin

Keyword(s):

Optimal Learning

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Inferring bounds on the performance of a control policy from a sample of trajectories

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927534 ◽

2009 ◽

Cited By ~ 4

Author(s):

Raphael Fonteneau ◽

Susan Murphy ◽

Louis Wehenkel ◽

Damien Ernst

Keyword(s):

Control Policy

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A convergent recursive least squares approximate policy iteration algorithm for multi-dimensional Markov decision process with continuous state and action spaces

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927527 ◽

2009 ◽

Cited By ~ 7

Author(s):

Jun Ma ◽

Warren B. Powell

Keyword(s):

Least Squares ◽

Markov Decision Process ◽

Decision Process ◽

Recursive Least Squares ◽

Iteration Algorithm ◽

Continuous State ◽

Markov Decision ◽

Approximate Policy Iteration ◽

Policy Iteration Algorithm ◽

Action Spaces

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Constrained optimal control of affine nonlinear discrete-time systems using GHJB method

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927520 ◽

2009 ◽

Cited By ~ 1

Author(s):

Lili Cui ◽

Huaguang Zhang ◽

Derong Liu ◽

Yongsu Kim

Keyword(s):

Optimal Control ◽

Discrete Time ◽

Constrained Optimal Control ◽

Discrete Time Systems ◽

Time Systems

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A unified framework for temporal difference methods

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927518 ◽

2009 ◽

Cited By ~ 1

Author(s):

Dimitri P. Bertsekas

Keyword(s):

Temporal Difference ◽

Unified Framework ◽

Difference Methods ◽

Temporal Difference Methods

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Coupling perception and action using minimax optimal control

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927526 ◽

2009 ◽

Cited By ~ 4

Author(s):

Tom Erez ◽

William D. Smart

Keyword(s):

Optimal Control ◽

Perception And Action ◽

Minimax Optimal Control

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The knowledge gradient algorithm for online subset selection

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927537 ◽

2009 ◽

Cited By ~ 15

Author(s):

Ilya O. Ryzhov ◽

Warren Powell

Keyword(s):

Subset Selection ◽

Gradient Algorithm ◽

Knowledge Gradient

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Using reward-weighted imitation for robot Reinforcement Learning

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927549 ◽

2009 ◽

Cited By ~ 7

Author(s):

Jan Peters ◽

Jens Kober

Keyword(s):

Reinforcement Learning

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2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Neuro-controller of cement rotary kiln temperature with adaptive critic designs

The QV family compared to other reinforcement learning algorithms

Bounds of optimal learning

Inferring bounds on the performance of a control policy from a sample of trajectories

A convergent recursive least squares approximate policy iteration algorithm for multi-dimensional Markov decision process with continuous state and action spaces

Constrained optimal control of affine nonlinear discrete-time systems using GHJB method

A unified framework for temporal difference methods

Coupling perception and action using minimax optimal control

The knowledge gradient algorithm for online subset selection

Using reward-weighted imitation for robot Reinforcement Learning

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
Latest Publications