Agarwal, Akshat and Kumar, Sumit and Sycara, Katia and Lewis, Michael
(2020)
Learning Transferable Cooperative Behavior in Multi-Agent
Team.
In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2020), May 9-13, Aukland, NZ.
Abstract
While multi-agent interactions can be naturally modeled as a graph, the environment has traditionally been considered as a black box. To better utilize the inherent structure of our environment, we propose to create a shared agent-entity graph, where agents and environmental entities form vertices, and edges exist between the vertices which can communicate with each other, allowing agents to selectively attend to different parts of the environment, while also introducing invariance to the number of agents or entities present in the system as well as permutation invariance. We present stateof- the-art results on coverage, formation and line control tasks for multi-agent teams in a fully decentralized execution framework.
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Details
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Status: |
Published |
| Creators/Authors: |
|
| Date: |
2020 |
| Date Type: |
Publication |
| Journal or Publication Title: |
International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2020) |
| Publisher: |
IFMAS |
| Place of Publication: |
Aukland, NZ |
| Event Title: |
International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2020) |
| Event Dates: |
May 9-13 |
| Event Type: |
Conference |
| Schools and Programs: |
School of Computing and Information > Information Science |
| Refereed: |
Yes |
| Date Deposited: |
15 Jun 2020 14:18 |
| Last Modified: |
15 Jun 2020 14:18 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/39099 |
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