Credit assignment for collective multiagent RL with global rewards

Credit assignment for collective multiagent RL with global rewards

Scaling decision theoretic planning to large multiagent systems is challenging due to uncertainty and partial observability in the environment. We focus on a multiagent planning model subclass, relevant to urban settings, where agent interactions are dependent on their collective influence'...

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Bibliographic Details
Main Authors: NGUYEN, Duc Thien, KUMAR, Akshat, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Credit assignment methods
Decision-theoretic planning
Faster convergence
High-quality solutions
Multi-agent patrolling
Multi-agent planning
Partial observability
Real-world problem
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4287
https://ink.library.smu.edu.sg/context/sis_research/article/5290/viewcontent/NIPS_2018_Credit_Assignment_For_Collective_Multiagent_RL.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4287
https://ink.library.smu.edu.sg/context/sis_research/article/5290/viewcontent/NIPS_2018_Credit_Assignment_For_Collective_Multiagent_RL.pdf

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