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Hai Zhang
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Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
L Li*, H Zhang*, X Zhang, S Zhu, J Zhao, PA Heng
Advances in Neural Information Processing Systems 37 Spotlight, 2024
72024
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
H Zhang, H Yu, J Zhao, D Zhang, H Zhou, C Huang, C Ye
Advances in Neural Information Processing Systems 36, 2024
42024
Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations
C Huang, J Zhao, H Zhou, H Zhang, X Zhang, C Ye
2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023
32023
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
X Zhang, H Zhang, H Zhou, C Huang, D Zhang, C Ye, J Zhao
IEEE Robotics and Automation Letters 9 (1), 491 - 498, 2023
22023
Focus On What Matters: Separated Models For Visual-Based RL Generalization
D Zhang, B Lv, H Zhang, F Yang, J Zhao, H Yu, C Huang, H Zhou, C Ye, ...
Advances in Neural Information Processing Systems 37, 2024
12024
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
H Zhang, B Zheng, A Guo, T Ji, PA Heng, J Zhao, L Li
The Thirteenth International Conference on Learning Representations (ICLR), 2024
2024
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