458 search results - page 45 / 92 » Q-Decomposition for Reinforcement Learning Agents |
167
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ATAL
2003
Springer
15 years 11 months ago
2003
Springer
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
133
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ATAL
2009
Springer
16 years 16 days ago
2009
Springer
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
170
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ATAL
2007
Springer
16 years 4 days ago
2007
Springer
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
164
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ATAL
2009
Springer
16 years 16 days ago
2009
Springer
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
198
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ATAL
2005
Springer
15 years 11 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...