458 search results - page 23 / 92 » Q-Decomposition for Reinforcement Learning Agents |
ICMAS
2000
15 years 3 months ago
2000
195
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ICAART
2010
INSTICC
15 years 11 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
119
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
174
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AGENTS
2001
Springer
15 years 6 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...