| Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning G Liu, L Lai Advances in Neural Information Processing Systems 34, 2021 | 42 | 2021 |
| Action-manipulation attacks on stochastic bandits G Liu, L Lai ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 26 | 2020 |
| Action-manipulation attacks against stochastic bandits: Attacks and defense G Liu, L Lai IEEE Transactions on Signal Processing 68, 5152-5165, 2020 | 20 | 2020 |
| Efficient adversarial attacks on online multi-agent reinforcement learning G Liu, L Lai Advances in Neural Information Processing Systems 36, 24401-24433, 2023 | 15 | 2023 |
| Action Poisoning Attacks on Linear Contextual Bandits G Liu, L Lai Transactions on Machine Learning Research, 2022 | 6* | 2022 |
| Enhancing multi-step reasoning abilities of language models through direct q-function optimization G Liu, K Ji, R Zheng, Z Wu, C Dun, Q Gu, L Yan arXiv preprint arXiv:2410.09302, 2024 | 4 | 2024 |
| Process supervision-guided policy optimization for code generation N Dai, Z Wu, R Zheng, Z Wei, W Shi, X Jin, G Liu, C Dun, L Huang, L Yan arXiv preprint arXiv:2410.17621, 2024 | 3 | 2024 |
| Optimal Cost Constrained Adversarial Attacks for Multiple Agent Systems Z Lu, G Liu, L Lai, W Xu 2024 58th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2024 | 3 | 2024 |
| Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty G Liu, Z Zhou, H Liu, L Lai arXiv preprint arXiv:2307.07666, 2023 | 2 | 2023 |
| Risk-Sensitive Reward-Free Reinforcement Learning with CVaR X Ni, G Liu, L Lai Forty-first International Conference on Machine Learning, 0 | 2 | |
| Flaming-hot Initiation with Regular Execution Sampling for Large Language Models W Chen, Z Zhang, G Liu, R Zheng, W Shi, C Dun, Z Wu, X Jin, L Yan arXiv preprint arXiv:2410.21236, 2024 | 1 | 2024 |
| Camouflage Adversarial Attacks on Multiple Agent Systems L Ziqing, G Liu, L Lai, X Weiyu 2024 IEEE International Symposium on Information Theory (ISIT), 7-12, 2024 | 1* | 2024 |
| Reward Attack on Stochastic Bandits with Non-Stationary Rewards C Yang, G Liu, L Lai 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1387-1393, 2023 | 1 | 2023 |
| Stochastic Bandits With Non-Stationary Rewards: Reward Attack and Defense C Yang, G Liu, L Lai IEEE Transactions on Signal Processing, 2024 | | 2024 |
| Towards Adversarial Robustness of Sequential Decision Making Algorithms G Liu University of California, Davis, 2024 | | 2024 |
Lifeng LaiProfessor, University of California, DavisVerified email at ucdavis.edu