2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
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39

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9781424427611

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Bounds of optimal learning

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927545 ◽

2009 ◽

Author(s):

Roman V. Belavkin

Keyword(s):

Optimal Learning

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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 ◽

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 ◽

Author(s):

Marco A. Wiering ◽

Hado van Hasselt

Keyword(s):

Reinforcement Learning ◽

Learning Algorithms

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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 ◽

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 ◽

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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 ◽

Author(s):

Raphael Fonteneau ◽

Susan Murphy ◽

Louis Wehenkel ◽

Damien Ernst

Keyword(s):

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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 ◽

Author(s):

Lili Cui ◽

Huaguang Zhang ◽

Derong Liu ◽

Yongsu Kim

Keyword(s):

Optimal Control ◽

Discrete Time ◽

Constrained Optimal Control ◽

Discrete Time Systems ◽

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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 ◽

Author(s):

Tom Erez ◽

William D. Smart

Keyword(s):

Optimal Control ◽

Perception And Action ◽

Minimax Optimal Control

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Real-time motor control using recurrent neural networks

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927524 ◽

2009 ◽

Author(s):

Dongsung HuH ◽

Emanuel Todorov

Keyword(s):

Neural Networks ◽

Motor Control ◽

Real Time ◽

Recurrent Neural Networks ◽

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Algorithm and stability of ATC receding horizon control

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927522 ◽

2009 ◽

Author(s):

Hongwei Zhang ◽

Jie Huang ◽

Frank L. Lewis

Keyword(s):

Receding Horizon Control ◽

Receding Horizon

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Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ◽

10.1109/adprl.2009.4927523 ◽

2009 ◽

Author(s):

Kyriakos Vamvoudakis ◽

Draguna Vrabie ◽

Frank Lewis

Keyword(s):

Optimal Control ◽

Optimal Control Problem ◽

Control Problem ◽

Continuous Time ◽

Infinite Horizon ◽

Policy Iteration

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