Heuristic Search of Multiagent Influence Space
Multiagent planning under uncertainty has seen important progress in recent years. Two techniques, in particular, have substantially advanced efficiency and scalability of planning. Multiagent heuristic search gains traction by pruning large portions of the joint policy space deemed suboptimal by he...
Main Authors: | , , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM),
2016-01-06T14:51:29Z.
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Subjects: | |
Online Access: | Get fulltext |