追蹤
Zhang-Wei Hong
Zhang-Wei Hong
在 mit.edu 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Tactics of adversarial attack on deep reinforcement learning agents
YC Lin, ZW Hong, YH Liao, ML Shih, MY Liu, M Sun
Proceedings of the 26th International Joint Conference on Artificial …, 2017
4692017
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
ZW Hong, TY Shann, SY Su, YH Chang, CY Lee
Proceedings of the 32nd Conference on Neural Information Processing Systems, 2018
1302018
A deep policy inference q-network for multi-agent systems
ZW Hong, SY Su, TY Shann, YH Chang, CY Lee
International Conference on Autonomous Agents and Multiagent Systems, 2017
1192017
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
ZW Hong, C Yu-Ming, SY Su, TY Shann, YH Chang, HK Yang, BHL Ho, ...
Proceedings of the 27th International Joint Conference on Artificial …, 2018
912018
Stubborn: A strong baseline for indoor object navigation
H Luo, A Yue, ZW Hong, P Agrawal
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
262022
Redeeming intrinsic rewards via constrained optimization
E Chen, ZW Hong, J Pajarinen, P Agrawal
Proceedings of the 36nd Conference on Neural Information Processing Systems, 2022
212022
Topological experience replay
ZW Hong, T Chen, YC Lin, J Pajarinen, P Agrawal
International Conference on Learning Representations 2022, 2022
172022
Harnessing mixed offline reinforcement learning datasets via trajectory weighting
ZW Hong, P Agrawal, RT Combes, R Laroche
International Conference on Learning Representations 2023, 2023
162023
Bilinear value networks
ZW Hong, G Yang, P Agrawal
International Conference on Learning Representations 2022, 2022
16*2022
Curiosity-driven red-teaming for large language models
ZW Hong, I Shenfeld, TH Wang, YS Chuang, A Pareja, J Glass, ...
arXiv preprint arXiv:2402.19464, 2024
132024
Model-based lookahead reinforcement learning
ZW Hong, J Pajarinen, J Peters
arXiv preprint arXiv:1908.06012, 2019
122019
Adversarial Active Exploration for Inverse Dynamics Model Learning
ZW Hong, TJ Fu, TY Shann, YH Chang, CY Lee
Proceedings of the 3rd Conference on Robot Learning, 2019
11*2019
Tgrl: An algorithm for teacher guided reinforcement learning
I Shenfeld, ZW Hong, A Tamar, P Agrawal
International Conference on Machine Learning, 31077-31093, 2023
8*2023
Periodic intra-ensemble knowledge distillation for reinforcement learning
ZW Hong, P Nagarajan, G Maeda
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
7*2021
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
ZW Hong, A Kumar, S Karnik, A Bhandwaldar, A Srivastava, J Pajarinen, ...
Proceedings of the 37nd Conference on Neural Information Processing Systems, 2023
62023
Mixture of step returns in bootstrapped dqn
PH Chiang, HK Yang, ZW Hong, CY Lee
arXiv preprint arXiv:2007.08229, 2020
42020
Reducing the deployment-time inference control costs of deep reinforcement learning agents via an asymmetric architecture
CJ Chang, YW Chu, CH Ting, HK Liu, ZW Hong, CY Lee
2021 IEEE International Conference on Robotics and Automation (ICRA), 4762-4768, 2021
32021
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
J Hwang, ZW Hong, E Chen, A Boopathy, P Agrawal, I Fiete
arXiv preprint arXiv:2310.17537, 2023
22023
Parallel -Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
Z Li, T Chen, ZW Hong, A Ajay, P Agrawal
International Conference on Machine Learning, 19440-19459, 2023
22023
Composing Synergistic Macro Actions for Reinforcement Learning Agents
YM Chen, KY Chang, C Liu, TC Hsiao, ZW Hong, CY Lee
IEEE Transactions on Neural Networks and Learning Systems 35 (5), 7251-7258, 2022
12022
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