Searched for: subject%3A%22reinforcement%255C+learning%22
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Chen, Yangkun (author), Yu, Chenghui (author), Zhu, Hengman (author), Liu, Shuai (author), Zhang, Yibing (author), Suarez, Joseph (author), Zhao, Liang (author), He, J. (author), Chen, Jiaxin (author)
We present the results of the second Neural MMO challenge, hosted at IJCAI 2022, which received 1600+ submissions. This competition targets robustness and generalization in multi-agent systems: participants train teams of agents to complete a multi-task objective against opponents not seen during training. We summarize the competition design...
journal article 2023
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Marot, Antoine (author), Donnot, Benjamin (author), Chaouache, Karim (author), Kelly, Adrian (author), Huang, Qiuhua (author), Hossain, Ramij Raja (author), Cremer, Jochen (author)
Artificial agents are promising for real-time power network operations, particularly, to compute remedial actions for congestion management. However, due to high reliability requirements, purely autonomous agents will not be deployed any time soon and operators will be in charge of taking action for the foreseeable future. Aiming at designing...
journal article 2022