458 search results - page 79 / 92 » Q-Decomposition for Reinforcement Learning Agents |
101
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AGENTS
2000
Springer
15 years 4 months ago
2000
Springer
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
92
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ATAL
2008
Springer
15 years 1 months ago
2008
Springer
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
AAAI
2010
15 years 1 months ago
2010
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...
101
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SASO
2009
IEEE
15 years 6 months ago
2009
IEEE
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
113
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ATAL
2005
Springer
15 years 5 months ago
2005
Springer
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...