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ABSTRACT. Decentralized partially observable Markov decision processes. (Dec-POMDPs) are general models for decentralized deci-.
We extend three leading Dec-. POMDP algorithms for policy generation to the macro-action case, and demonstrate their effectiveness in both standard benchmarks ...
Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for decentralized decision making under uncertainty.
Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for decentralized decision making under uncertainty.
We model macro-actions as options in a Dec-POMDP, focusing on actions that depend only on information directly available to the agent during execution.
We model macro-actions as options in a Dec-POMDP, focusing on actions that depend only on information directly available to the agent during execution.
Return to Article Details Modeling and Planning with Macro-Actions in Decentralized POMDPs Download Download PDF. Thumbnails Document Outline Attachments
Feb 13, 2014 · The core technical difficulty when using options in a Dec-POMDP is that the options chosen by the agents no longer terminate at the same time.
We model macro-actions as options in a Dec-POMDP, focusing on actions that depend only on information directly available to the agent during execution.
Planning with macro-actions in decentralized POMDPs. In Proceedings of the Thirteenth International Confer- ence on Autonomous Agents and Multiagent Systems ...