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Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (2024). Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Machine Learning with Applications, 1 page. External link
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. External link
Nekoei, H., Badrinaaraayanan, A., Sinha, A., Amini, M., Rajendran, J., Mahajan, A., & Anbil Parthipan, S. C. (2023, August). Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning [Paper]. 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Qc. Canada. Unavailable
Nekoei, H., Zhao, X. T., Rajendran, J., Liu, M. A., & Anbil Parthipan, S. C. (2023, August). Towards few-shot coordination : revisiting ad-hoc teamplay challenge in the game of Hanabi [Paper]. 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Qc, Canada. Unavailable
Nekoei, H., Badrinaaraayanan, A., Courville, A., & Anbil Parthipan, S. C. (2021, July). Continuous Coordination As a Realistic Scenario for Lifelong Learning [Paper]. International Conference on Machine Learning (ICML 2021). External link
Van Seijen, H., Nekoei, H., Racah, E., & Anbil Parthipan, S. C. (2020, December). The LoCA regret: A consistent metric to evaluate model-based behavior in reinforcement learning [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Unavailable
