• Picture of 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

  1. Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
    , , , Miao Liu et
    Conference on Lifelong Learning Agents (CoLLAs), 2023.
    #RL
    [pmlr], [arXiv]

  2. Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
    , , Amit Sinha, Mohammad Amini, , Aditya Mahajan et
    Conference on Lifelong Learning Agents (CoLLAs), 2023.
    #RL
    [pmlr], [arXiv]

  3. Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads
    Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, , Liam Paull et Antoine Lesage-Landry
    International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
    #RL
    [arXiv]

  4. DEUP: Direct Epistemic Uncertainty Prediction
    Moksh Jain, Salem Lahlou, , Victor Butoi, Paul Bertin, , Maksym Korablyov et Yoshua Bengio
    Transactions on Machine Learning Research (TMLR), 2023.
    #DL
    [openreview], [arXiv], [code]

2021

  1. Continuous Coordination As a Realistic Scenario for Lifelong Learning
    , , Aaron Courville et
    International Conference on Machine Learning (ICML), 2021.
    #RL
    [pmlr], [arXiv], [code]

2020

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