267 search results - page 35 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
NIPS
2003
14 years 11 months ago
2003
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassin...
ROBOCUP
2007
Springer
15 years 3 months ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
AROBOTS
1999
14 years 9 months ago
1999
Abstract. Classical conditioning is a basic learning mechanism in animals and can be found in almost all organisms. If we want to construct robots with abilities matching those of ...
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IROS
2008
IEEE
15 years 4 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...