Zhang-Wei Hong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
7
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Tailored Primitive Initialization is the Secret Key to Reinforcement Learning. | Yihang Yao, Guangtao Zeng, Raina Wu, Yang Zhang, Ding Zhao, Zhang-Wei Hong, Chuang Gan |
| 2025 | ICLR | ReGen: Generative Robot Simulation via Inverse Design. | Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus |
| 2025 | ICLR | ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization. | Chen Bo Calvin Zhang, Zhang-Wei Hong, Aldo Pacchiano, Pulkit Agrawal |
| 2025 | ICML | Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. | Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan |
| 2024 | ICLR | Curiosity-driven Red-teaming for Large Language Models. | Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal |
| 2024 | ICML | Random Latent Exploration for Deep Reinforcement Learning. | Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari, Alexander Rakhlin, Pulkit Agrawal |
| 2024 | ICRA | Maximizing Quadruped Velocity by Minimizing Energy. | Srinath Mahankali, Chi-Chang Lee, Gabriel B. Margolis, Zhang-Wei Hong, Pulkit Agrawal |
| 2024 | IROS | Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. | Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Sertac Karaman, Daniela Rus |
| 2023 | ICLR | Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. | Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche |
| 2023 | ICML | Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. | Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal |
| 2023 | ICML | TGRL: An Algorithm for Teacher Guided Reinforcement Learning. | Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal |
| 2022 | ICLR | Topological Experience Replay. | Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal |
| 2022 | ICLR | Bi-linear Value Networks for Multi-goal Reinforcement Learning. | Zhang-Wei Hong, Ge Yang, Pulkit Agrawal |
| 2022 | IROS | Stubborn: A Strong Baseline for Indoor Object Navigation. | Haokuan Luo, Albert Yue, Zhang-Wei Hong, Pulkit Agrawal |
| 2021 | ICRA | Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture. | Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee |
| 2019 | CoRL | Adversarial Active Exploration for Inverse Dynamics Model Learning. | Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Chun-Yi Lee |
| 2018 | ICLR | Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. | Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su, Yi-Hsiang Chang, Chun-Yi Lee |
| 2018 | IJCAI | Virtual-to-Real: Learning to Control in Visual Semantic Segmentation. | Zhang-Wei Hong, Yu-Ming Chen, Hsuan-Kung Yang, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Yueh-Chuan Chang, Chun-Yi Lee |
| 2017 | ICLR | Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. | Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun |
| 2017 | IJCAI | Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. | Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun |