Ping-Chun Hsieh

Venues

Frequent coauthors

Papers

1. Action-Constrained Imitation Learning
   ICML 2025 ·

   Chia-Han Yeh

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2. BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
   ICLR 2025 ·

   Yu-Heng Hung

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3. Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
   ICLR 2025 ·

   Wei Hung

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4. Extending Automatic Machine Translation Evaluation to Book-Length Documents
   EMNLP 2025 ·

   Kuang-Da Wang

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5. Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
   NeurIPS 2025 ·

   Jian-Ting Guo

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6. Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
   ICML 2024 ·

   Yen-Ju Chen

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7. Diffusion-Reward Adversarial Imitation Learning
   NeurIPS 2024 ·

   Chun-Mao Lai

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8. Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning
   ICML 2024 ·

   Yun-Hsuan Lien

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9. Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
   ECML-PKDD 2024 ·

   Kuang-Da Wang

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10. PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
    AAAI 2024 ·

    Nai-Chieh Huang

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