Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs
Researchers have introduced the Dynamic Distributed Constraint Optimization Problem (Dynamic DCOP) formulation to model dynamically changing multi-agent coordination problems, where a dynamic DCOP is a sequence of (static canonical) DCOPs, each partially different from the DCOP preceding it. Existin...
Saved in:
Main Authors: | NGUYEN, Duc Thien, YEOH, William, LAU, Hoong Chuin, Zilberstein, Shlomo |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2014
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2009 https://ink.library.smu.edu.sg/context/sis_research/article/3008/viewcontent/p1341_DecentralizedMulitAgentReinforcementLearningDCOP_2014_aamas.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs
by: Nguyen, Duc Thien, et al.
Published: (2014) -
Distributed Gibbs: A memory-bounded sampling-based DCOP algorithm
by: NGUYEN, Duc Thien, et al.
Published: (2013) -
Stochastic dominance in stochastic DCOPs for risk-sensitive applications
by: NGUYEN DUC THIEN,, et al.
Published: (2012) -
Automated Generation of Interaction Graphs for Value-Factored Decentralized POMDPs
by: YEOH, William, et al.
Published: (2013) -
Incremental DCOP Search Algorithms for Solving Dynamic DCOP Problems
by: YEOH, William, et al.
Published: (2011)