236 search results - page 14 / 48 » Non-linear dynamics in multiagent reinforcement learning alg... |
AGENTS
1999
Springer
14 years 2 days 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...
ECAI
2008
Springer
13 years 9 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
14 years 1 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¬...
AI
1999
Springer
13 years 7 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...
ROBOCUP
2004
Springer
14 years 1 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...