| Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates Y Liu, H Guo International Conference on Machine Learning, 2020 | 214 | 2020 |
| Provably efficient offline reinforcement learning for partially observable markov decision processes H Guo, Q Cai, Y Zhang, Z Yang, Z Wang International Conference on Machine Learning (Spotlight), 8016-8038, 2022 | 15 | 2022 |
| Policy learning using weak supervision J Wang*, H Guo*, Z Zhu*, Y Liu Advances in Neural Information Processing Systems 34, 19960-19973, 2021 | 10 | 2021 |
| Reason for future, act for now: A principled framework for autonomous llm agents with provable sample efficiency Z Liu, H Hu, S Zhang, H Guo, S Ke, B Liu, Z Wang arXiv preprint arXiv:2309.17382, 2023 | 8 | 2023 |
| Decentralized single-timescale actor-critic on zero-sum two-player stochastic games H Guo, Z Fu, Z Yang, Z Wang International Conference on Machine Learning (Spotlight), 3899-3909, 2021 | 8 | 2021 |
| Signal instructed coordination in cooperative multi-agent reinforcement learning L Chen, H Guo, Y Du, F Fang, H Zhang, W Zhang, Y Yu Distributed Artificial Intelligence: Third International Conference, DAI …, 2022 | 5 | 2022 |
| Human-instruction-free llm self-alignment with limited samples H Guo, Y Yao, W Shen, J Wei, X Zhang, Z Wang, Y Liu arXiv preprint arXiv:2401.06785, 2024 | 4 | 2024 |
| Behavior Contrastive Learning for Unsupervised Skill Discovery R Yang, C Bai, H Guo, S Li, B Zhao, Z Wang, P Liu, X Li International Conference on Machine Learning, 2023 | 2 | 2023 |
| Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards W Shen, X Zhang, Y Yao, R Zheng, H Guo, Y Liu arXiv preprint arXiv:2403.07708, 2024 | 1 | 2024 |
| Can Large Language Models Play Games? A Case Study of A Self-Play Approach H Guo, Z Liu, Y Zhang, Z Wang arXiv preprint arXiv:2403.05632, 2024 | 1 | 2024 |
| Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting J Wei, Y Yao, JF Ton, H Guo, A Estornell, Y Liu arXiv preprint arXiv:2402.10412, 2024 | 1 | 2024 |
| Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning X Yu, C Bai, H Guo, C Wang, Z Wang arXiv preprint arXiv:2404.06188, 2024 | | 2024 |
| Lightweight Uncertainty for Offline Reinforcement Learning via Bayesian Posterior X Yu, C Bai, H Guo, L Wang, C Wang, Z Wang, Z Wang | | 2022 |
Yang LiuComputer Science and Engineering, UC Santa Cruz在 ucsc.edu 的电子邮件经过验证
