Assistant Agents for Sequential Planning Problems
The problem of optimal planning under uncertainty in collaborative multi-agent domains is known to be deeply intractable but still demands a solution. This thesis will explore principled approximation methods that yield tractable approaches to planning for AI assistants, which allow them to understa...
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Format: | Article |
Language: | en_US |
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Association for the Advancement of Artificial Intelligence
2016
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Online Access: | http://hdl.handle.net/1721.1/100703 |