Publications d'Hadi Nekoei
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Hadi Nekoei
Domaines de recherche: Apprentissage par renforcement multi-agent, Apprentissage par renforcement basé sur les models, Apprentissage permanent, généralisation en apprentissage par renforcement
Activité
- Étudiant au doctorat: déc. 2021 - maintenant
- Stagiaire: jan. 2020 - déc. 2021
Articles de conférence et de revue
2023
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Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu et Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs), 2023.
#RL
[pmlr], [arXiv] -
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan et Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs), 2023.
#RL
[pmlr], [arXiv] -
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull et Antoine Lesage-Landry
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
#RL
[arXiv] -
DEUP: Direct Epistemic Uncertainty Prediction
Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov et Yoshua Bengio
Transactions on Machine Learning Research (TMLR), 2023.
#DL
[openreview], [arXiv], [code]
2021
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Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville et Sarath Chandar
International Conference on Machine Learning (ICML), 2021.
#RL
[pmlr], [arXiv], [code]
2020
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The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm van Seijen, Hadi Nekoei, Evan Racah et Sarath Chandar
Conference on Neural Information Processing Systems (NeurIPS), 2020.
#RL
[neurips], [arXiv], [code]