458 search results - page 23 / 92 » Q-Decomposition for Reinforcement Learning Agents |
ICMAS
2000
13 years 9 months ago
2000
ICARCV
2006
IEEE
14 years 1 months ago
2006
IEEE
ICAART
2010
INSTICC
14 years 4 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...
GECCO
2006
Springer
13 years 11 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...
AGENTS
2001
Springer
14 years 6 days 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...