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← Authors

Zhang-Wei Hong

19 papers · 2017–2026 · 7 conferences · across top CS/AI conferences

Achievements

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Conferences

ICLR (6) ICML (4) NIPS (4) IJCAI (2) ACL (1) CORL (1) L4DC (1)

Top co-authors

Pulkit Agrawal (11) Tzu-Yun Shann (3) Chun-Yi Lee (3) Joni K. Pajarinen (2) Shih-Yang Su (2) Yi-Hsiang Chang (2) Romain Laroche (2) Tsu-Jui Fu (2) Idan Shenfeld (2) Tsun-Hsuan Wang (2)

Keywords

deep reinforcement learning (4) reinforcement learning (4) imitation learning (2) policy optimization (2) mathematical reasoning (1) policy learning (1) sequential decision making (1) domain adaptation (1) offline reinforcement learning (1) logical reasoning (1) robotic manipulation (1) constrained optimization (1) sim-to-real transfer (1) model predictive control (1) sample efficiency (1) behavior cloning (1) importance sampling (1) robot control (1) off-policy learning (1) semantic segmentation (1)

Papers

Tailored Primitive Initialization is the Secret Key to Reinforcement Learning ACL 2026 ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization ICLR 2025 ReGen: Generative Robot Simulation via Inverse Design ICLR 2025 Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search ICML 2025 Going Beyond Heuristics by Imposing Policy Improvement as a Constraint NIPS 2024 Curiosity-driven Red-teaming for Large Language Models ICLR 2024 Random Latent Exploration for Deep Reinforcement Learning ICML 2024 Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023 Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting ICLR 2023 Model Predictive Control via On-Policy Imitation Learning L4DC 2023 TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023 Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NIPS 2023 Topological Experience Replay ICLR 2022 Redeeming intrinsic rewards via constrained optimization NIPS 2022 Bi-linear Value Networks for Multi-goal Reinforcement Learning ICLR 2022 Adversarial Active Exploration for Inverse Dynamics Model Learning CORL 2019 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NIPS 2018 Virtual-to-Real: Learning to Control in Visual Semantic Segmentation IJCAI 2018 Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017