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Decision-Theoretic Planning Under Anonymity in Agent Populations
Ekhlas Sonu
, Yingke Chen
, Prashant Doshi
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Article
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peer-review
186
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Keyphrases
Partially Observable Markov Decision Process
100%
Anonymity
100%
Decision-theoretic Planning
100%
Self-interest
80%
Exponential Growth
40%
Planning under Uncertainty
40%
Popular
20%
Problem Domain
20%
Runtime Complexity
20%
Multi-agent
20%
Large-scale Problems
20%
Value Function
20%
Real-world Application
20%
Multiplayer Games
20%
Under Uncertainty
20%
Context-specific Independence
20%
Traffic Congestion
20%
Look-ahead Computation
20%
Search Tree
20%
Clash of Clans
20%
Branch-and-bound
20%
I-POMDP
20%
Fast Computing
20%
Belief Updating
20%
Planning Horizon
20%
Decision Theoretic
20%
Computer Science
Markov Decision Process
100%
Theoretic Planning
100%
Anonymity
100%
Interactivity
100%
Exponential Growth
40%
multi-agent
20%
Problem Domain
20%
Tree Search
20%
Runtime Complexity
20%
Speed-up
20%
Multiplayer Game
20%
World Application
20%
Branch-and-Bound Algorithm Design
20%
Planning Horizon
20%
Artificial Intelligence
20%