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...
Main Author: | Macindoe, Owen |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Association for the Advancement of Artificial Intelligence
2016
|
Online Access: | http://hdl.handle.net/1721.1/100703 |
Similar Items
-
Sidekick agents for sequential planning problems
by: Macindoe, Owen
Published: (2014) -
POMCoP: Belief Space Planning for Sidekicks in Cooperative Games
by: Macindoe, Owen, et al.
Published: (2016) -
A constraint-based method for solving sequential manipulation planning problems
by: Lozano-Perez, Tomas, et al.
Published: (2016) -
Investigating the fine grained structure of networks
by: Macindoe, Owen
Published: (2010) -
Fairness in Multi-Agent Sequential Decision-Making
by: Zhang, Chongjie, et al.
Published: (2017)