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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. LAVL LAVL Public

    Official code for ICML'26 paper [Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning]

    Python 5

  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 2 2

  4. APPO APPO Public

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

    Jupyter Notebook 2

  5. CPQL CPQL Public

    Official code for ICLR'26 paper [Peng's Q(λ) for Conservative Value Estimation in Offline Reinforcement Learning]

    Python 1

  6. NFPO NFPO Public

    Python 1

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