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2020 – today
- 2024
[c3]Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li:
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. ICML 2024- [i5]Zhaowei Zhang, Fengshuo Bai, Mingzhi Wang, Haoyang Ye, Chengdong Ma, Yaodong Yang:
Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects. CoRR abs/2402.12907 (2024) - [i4]Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han:
Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation. CoRR abs/2405.18688 (2024) - [i3]Fengshuo Bai, Mingzhi Wang, Zhaowei Zhang, Boyuan Chen, Yinda Xu, Ying Wen, Yaodong Yang:
Efficient Model-agnostic Alignment via Bayesian Persuasion. CoRR abs/2405.18718 (2024) - 2023
- [c2]Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, Bo Xu:
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction. AAAI 2023: 6728-6736 - [i2]Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li:
Zero-shot Preference Learning for Offline RL via Optimal Transport. CoRR abs/2306.03615 (2023) - [i1]Zhaowei Zhang, Fengshuo Bai, Jun Gao, Yaodong Yang
:
Measuring Value Understanding in Language Models through Discriminator-Critique Gap. CoRR abs/2310.00378 (2023) - 2022
- [c1]Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang:
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. NeurIPS 2022
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