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Ping-Chun Hsieh

20 papers · 2019–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Grand Slam 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (90)

Venues

ICML (6) AAAI (3) ICLR (3) NeurIPS (3) ACML (2) AISTATS (1) EMNLP (1) UAI (1)

Top co-authors

Xi Liu (7) Wei Hung (4) Yu-Shuen Wang (3) Yun-Hsuan Lien (3) Shao-Hua Sun (3) Nai-Chieh Huang (2) Yu-Heng Hung (2) Kuo-Hao Ho (2) Yen-Ju Chen (2) Anirban Bhattacharya (2)

Research topics

Machine Learning (15) Reinforcement Learning (13) Methods (13) Optimization & Theory (10) Artificial Intelligence (5) Learning Types Β· Machine Learning (5) Core AI (4) Deep Learning (3) Learning Types Β· Deep Learning (3) Mathematics & Optimization (2) Robotics (2) Application Areas (2) Applications (2) Capabilities (2) Optimization (2)

Keywords

reinforcement learning (6) policy optimization (3) regret bound (3) global convergence (2) adversarial learning (2) deep reinforcement learning (2) neural network (2) linear bandit (2) multi-armed bandit (2) action constraint (2) imitation learning (2) bayesian optimization (2) policy learning (1) machine translation (1) policy gradient (1) few-shot learning (1) sim-to-real transfer (1) markov decision process (1) sample efficiency (1) domain randomization (1)

Papers

Action-Constrained Imitation Learning ICML 2025 BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL ICLR 2025 Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs ICLR 2025 Extending Automatic Machine Translation Evaluation to Book-Length Documents EMNLP 2025 Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning ACML 2025 Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning ICML 2024 Diffusion-Reward Adversarial Imitation Learning NeurIPS 2024 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping AAAI 2024 Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023 Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots ICLR 2023 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023 Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective AAAI 2023 Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games ACML 2023 Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization UAI 2021 NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL NeurIPS 2021 Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NeurIPS 2021 Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits AAAI 2021 Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits ICML 2020 Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging ICML 2019