Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies

This paper presents the application of collaborative reinforcement learning models to enable the distributed learning of energy contracts negotiation strategies. The learning model combines the learning process on the best negotiation strategies to apply against each opponent, in each context, from...

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Bibliographic Details
Main Author: Pinto, Tiago (author)
Other Authors: Praça, Isabel (author), Vale, Zita (author), Santos, Carlos (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
Collaborative reinforcement learning
Electricity markets
Energy contracts negotiation
Negotiation strategies
Q-Learning
Online Access:http://hdl.handle.net/10400.22/18485
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18485

Internet

http://hdl.handle.net/10400.22/18485

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