135 search results - page 14 / 27 » Using Reinforcement Learning to Coordinate Better |
NIPS
2007
14 years 11 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
ECAL
2005
Springer
15 years 3 months ago
2005
Springer
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
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AI
1998
Springer
14 years 9 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
Real-world behavior-based robot control problems require the coordination of a large number of competing behaviors. However, coordination becomes increasingly difficult as the num...
ICMLA
2010
14 years 7 months ago
2010
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...