326 search results - page 28 / 66 » Reinforcement Learning Based on On-Line EM Algorithm |
205
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GECCO
2011
Springer
14 years 9 months ago
2011
Springer
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
163
Voted
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
182
Voted
AROBOTS
1999
15 years 6 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
162
Voted
ATAL
2007
Springer
16 years 17 days ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
177
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ICRA
2006
IEEE
16 years 12 days ago
2006
IEEE
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...