458 search results - page 14 / 92 » Q-Decomposition for Reinforcement Learning Agents |
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
IAT
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
ESANN
2006
13 years 9 months ago
2006
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...