236 search results - page 14 / 48 » A Multiagent Reinforcement Learning Algorithm with Non-linea... |
AGENTS
1999
Springer
15 years 1 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
71
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ECAI
2008
Springer
14 years 11 months ago
2008
Springer
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
CEEMAS
2003
Springer
15 years 2 months ago
2003
Springer
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
101
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AI
1999
Springer
14 years 9 months ago
1999
Springer
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
112
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ROBOCUP
2004
Springer
15 years 3 months ago
2004
Springer
The existing reinforcement learning approaches have been suļ¬ering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...