251 search results - page 11 / 51 » Skill Combination for Reinforcement Learning |
IAT
2008
IEEE
15 years 6 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...
CG
2006
Springer
15 years 1 months ago
2006
Springer
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
SIGCSE
2000
ACM
15 years 4 months ago
2000
ACM
Empirical skills are playing an increasingly important role in the computing profession and our society. But while traditional computer science curricula are effective in teaching...
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AGENTS
2001
Springer
15 years 4 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
ISMAR
2009
IEEE
15 years 6 months ago
2009
IEEE
This paper proposes an approach to mixed environment training of manual tasks requiring concurrent use of psychomotor and cognitive skills. To train concurrent use of both skill s...