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@oh-lab

Oh Lab

Research Group of Prof. Min-hwan Oh in the Graduate School of Data Science at Seoul National University

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  1. Count-MORL Count-MORL Public

    Official code for ICML'23 paper [Model-based Offline Reinforcement Learning with Count-based Conservatism]

    Python 6 1

  2. APPO APPO Public

    Official code for ICLR'25 paper [Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning]

    Jupyter Notebook 2

  3. UTE-Uncertainty-aware-Temporal-Extension UTE-Uncertainty-aware-Temporal-Extension Public

    An Official code for AAAI'24 paper [Learning Uncertainty-Aware Temporally-Extended Actions]

    Python 1 2

  4. LinearBandit LinearBandit Public

    Simulation for linear bandits: LinUCB, LinTS, LinPHE

    Jupyter Notebook 1

  5. sparsity-agnostic-lasso-bandit sparsity-agnostic-lasso-bandit Public

    Sparsity-Agnostic Lasso Bandit

    Python

  6. OFU-MNL-plus OFU-MNL-plus Public

    Official code for NeurIPS'24 paper [Nearly Minimax Optimal Regret for Multinomial Logistic Bandit]

    Python 1

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