Multi-Agent Reinforcement Learning for ...
Document type :
Communication dans un congrès avec actes
Title :
Multi-Agent Reinforcement Learning for Strategic Bidding in Two Stage Electricity Markets
Author(s) :
Morri, Francesco [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Le Cadre, Hélène [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Gruet, Pierre [Auteur]
EDF R&D [EDF R&D]
Brotcorne, Luce [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Integrated Optimization with Complex Structure [INOCS]
Le Cadre, Hélène [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Gruet, Pierre [Auteur]
EDF R&D [EDF R&D]
Brotcorne, Luce [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Conference title :
IMACS23 - 21st IMACS World congress
City :
Rome
Country :
Italie
Start date of the conference :
2023-09-11
English keyword(s) :
Multi agent System
Electricity market
Deep reinforcement learning
Renewable energy
Electricity market
Deep reinforcement learning
Renewable energy
HAL domain(s) :
Informatique [cs]/Système multi-agents [cs.MA]
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Files
- IMACS23_Abstract.pdf
- Open access
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- IMACS23_Abstract.pdf
- Open access
- Access the document