473 search results - page 14 / 95 » Programmable Reinforcement Learning Agents |
NIPS
2000
13 years 10 months ago
2000
For many problems which would be natural for reinforcement learning, the reward signal is not a single scalar value but has multiple scalar components. Examples of such problems i...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
ATAL
2009
Springer
14 years 3 months ago
2009
Springer
IAT
2008
IEEE
14 years 3 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 10 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 ...