Publications by Hadi Nekoei

Hadi Nekoei

Research Areas: Multi-agent RL, Model-based RL, Lifelong Learning, Generalization in RL

Activity

Just-in-time Episodic Feedback Hinter: Leveraging Offline Knowledge to Improve LLM Agents Adaptation
Hadi Nekoei, Aman Jaiswal, Patrice Bechard, Oleh Shliazhko, Orlando Marquez Ayala, Mathieu Reymond, Massimo Caccia, Alexandre Drouin, Sarath Chandar, and Alexandre Lacoste
In ArXiv, 2025.
#NLP, #RL
[arXiv]

How to Train Your LLM Web Agent: A Statistical Diagnosis
Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Megh Thakkar, Thibault Le Sellier de Chezelles, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Liu, Alexandre Drouin, Laurent Charlin, Alexandre Piché, Alexandre Lacoste, and Massimo Caccia
Conference on Neural Information Processing Systems (NeurIPS), 2025.
#NLP, #RL
[arXiv]
A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar*, Hadi Nekoei*, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, and Sarath Chandar
International Conference on Learning Representations (ICLR), 2025.
#RL, #Other
[website], [openreview], [arXiv], [code]

Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, and Antoine Lesage-Landry
Machine Learning, 2023.
[International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Extended Abstracts, 2023]
#RL
[springer], [acm], [arXiv]
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, and 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, and Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs), 2023.
#RL
[pmlr], [arXiv]
DEUP: Direct Epistemic Uncertainty Prediction
Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, and Yoshua Bengio
Transactions on Machine Learning Research (TMLR), 2023.
#DL
[openreview], [arXiv], [code]

Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville, and Sarath Chandar
International Conference on Machine Learning (ICML), 2021.
#RL
[pmlr], [arXiv], [code]

The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm van Seijen, Hadi Nekoei, Evan Racah, and Sarath Chandar
Conference on Neural Information Processing Systems (NeurIPS), 2020.
#RL
[neurips], [arXiv], [code]