Documents publiés en "2023"

Département de génie électrique

Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (2023). Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Machine Learning with Applications, 32 pages. Lien externe

Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (mai 2023). Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads [Affiche]. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), London, UK. Publié dans Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems. Lien externe

Département de génie informatique et génie logiciel

Nekoei, H., Badrinaaraayanan, A., Sinha, A., Amini, M., Rajendran, J., Mahajan, A., & Anbil Parthipan, S. C. (août 2023). Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning [Communication écrite]. 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Qc. Canada. Non disponible

Nekoei, H., Zhao, X. T., Rajendran, J., Liu, M. A., & Anbil Parthipan, S. C. (août 2023). Towards few-shot coordination : revisiting ad-hoc teamplay challenge in the game of Hanabi [Communication écrite]. 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Qc, Canada. Non disponible