513 search results - page 82 / 103 » Metric learning for reinforcement learning agents |
132
Voted
CEC
2005
IEEE
15 years 6 months ago
2005
IEEE
Abstract- We introduce metrics on sensorimotor experience at various temporal scales based on informationtheory. Sensorimotor variables through which the experience of an agent fl...
119
Voted
ATAL
2006
Springer
15 years 4 months ago
2006
Springer
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
96
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
107
Voted
IROS
2008
IEEE
15 years 6 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...
102
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GECCO
2005
Springer
15 years 6 months ago
2005
Springer
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...