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Zhang-Wei Hong

19 papers · 2017–2026 · 7 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (30) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (11) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (93)

Venues

ICLR (6) ICML (4) NeurIPS (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)

Research topics

Reinforcement Learning (15) Methods (15) Artificial Intelligence (11) Machine Learning (11) Core AI (11) Applications Β· Reinforcement Learning (7) Learning Types Β· Machine Learning (6) Deep Learning (4) Application Areas (3) Learning Types Β· Deep Learning (3) Optimization & Theory (2) Computer Vision (1) Robotics (1) Analysis (1) Applications Β· Robotics (1)

Keywords

reinforcement learning (6) deep reinforcement learning (5) policy optimization (3) robot manipulation (2) imitation learning (2) robotic manipulation (2) offline reinforcement learning (2) generative model (2) exploration bonus (2) mathematical reasoning (1) sequential decision making (1) logical reasoning (1) domain adaptation (1) autonomous driving (1) markov decision process (1) transfer learning (1) behavior cloning (1) constrained optimization (1) model predictive control (1) policy learning (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 Curiosity-driven Red-teaming for Large Language Models ICLR 2024 Going Beyond Heuristics by Imposing Policy Improvement as a Constraint NeurIPS 2024 Random Latent Exploration for Deep Reinforcement Learning ICML 2024 Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NeurIPS 2023 Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting ICLR 2023 Model Predictive Control via On-Policy Imitation Learning L4DC 2023 Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023 TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023 Bi-linear Value Networks for Multi-goal Reinforcement Learning ICLR 2022 Redeeming intrinsic rewards via constrained optimization NeurIPS 2022 Topological Experience Replay ICLR 2022 Adversarial Active Exploration for Inverse Dynamics Model Learning CoRL 2019 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 Virtual-to-Real: Learning to Control in Visual Semantic Segmentation IJCAI 2018 Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017