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Multi-agent reinforcement learning for planning and scheduling multiple goals

Multi-agent reinforcement learning for planning and scheduling multiple goals
Multi-agent reinforcement learning for planning and scheduling multiple goals
Recently, reinforcement learning has been proposed as an effective method for knowledge acquisition of the multiagent systems. However, most researches on multiagent system applying a reinforcement learning algorithm focus on the method to reduce complexity due to the existence of multiple agents and goals. Though these pre-defined structures succeeded in putting down the undesirable effect due to the existence of multiple agents, they would also suppress the desirable emergence of cooperative behaviors in the multiagent domain. We show that the potential cooperative properties among the agent are emerged by means of Profit-sharing which is robust in the non-MDPs.
359-360
Arai, Sachiyo
a9b81f3c-9110-4657-aa2d-e6acd75adfec
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Payne, Terry R.
09574f42-3cbc-43d3-86c2-2f96eb6319a0
Arai, Sachiyo
a9b81f3c-9110-4657-aa2d-e6acd75adfec
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Payne, Terry R.
09574f42-3cbc-43d3-86c2-2f96eb6319a0

Arai, Sachiyo, Sycara, Katia and Payne, Terry R. (2000) Multi-agent reinforcement learning for planning and scheduling multiple goals. Fourth International Conference on Multi-Agent Systems (ICMAS-2000). pp. 359-360 .

Record type: Conference or Workshop Item (Paper)

Abstract

Recently, reinforcement learning has been proposed as an effective method for knowledge acquisition of the multiagent systems. However, most researches on multiagent system applying a reinforcement learning algorithm focus on the method to reduce complexity due to the existence of multiple agents and goals. Though these pre-defined structures succeeded in putting down the undesirable effect due to the existence of multiple agents, they would also suppress the desirable emergence of cooperative behaviors in the multiagent domain. We show that the potential cooperative properties among the agent are emerged by means of Profit-sharing which is robust in the non-MDPs.

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More information

Published date: 2000
Venue - Dates: Fourth International Conference on Multi-Agent Systems (ICMAS-2000), 2000-01-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259172
URI: http://eprints.soton.ac.uk/id/eprint/259172
PURE UUID: fa622782-7f3c-46db-ba0f-d9e1c53ef8a4

Catalogue record

Date deposited: 15 Mar 2004
Last modified: 16 Dec 2019 20:45

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Contributors

Author: Sachiyo Arai
Author: Katia Sycara
Author: Terry R. Payne

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