Guoqing Liu
Guoqing Liu
Microsoft Research AI for Science
Verified email at - Homepage
Cited by
Cited by
Suphx: Mastering mahjong with deep reinforcement learning
J Li, S Koyamada, Q Ye, G Liu, C Wang, R Yang, L Zhao, T Qin, TY Liu, ...
arXiv preprint arXiv:2003.13590, 2020
Connecting large language models with evolutionary algorithms yields powerful prompt optimizers
Q Guo, R Wang, J Guo, B Li, K Song, X Tan, G Liu, J Bian, Y Yang
International Conference on Learning Representations (ICLR 2024), 2023
Return-Based Contrastive Representation Learning for Reinforcement Learning
G Liu, C Zhang, L Zhao, T Qin, J Zhu, J Li, N Yu, TY Liu
International Conference on Learning Representations (ICLR 2021), 2021
Trust region evolution strategies
G Liu, L Zhao, F Yang, J Bian, T Qin, N Yu, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4352-4359, 2019
The impact of large language models on scientific discovery: a preliminary study using gpt-4
MR AI4Science, MA Quantum
arXiv preprint arXiv:2311.07361, 2023
You may not need ratio clipping in PPO
M Sun, V Kurin, G Liu, S Devlin, T Qin, K Hofmann, S Whiteson
arXiv preprint arXiv:2202.00079, 2022
Re-evaluating chemical synthesis planning algorithms
A Tripp, K Maziarz, S Lewis, G Liu, M Segler
NeurIPS 2022 AI for Science: Progress and Promises (NeurIPS-W 2022), 2022
Demonstration actor critic
G Liu, L Zhao, P Zhang, J Bian, T Qin, N Yu, TY Liu
Neurocomputing 434, 194-202, 2021
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation
G Liu, M Cai, L Zhao, T Qin, A Brown, J Bischoff, TY Liu
IEEE Conference on Games (CoG 2022), 237-244, 2022
Retrosynthetic Planning with Dual Value Networks
G Liu, D Xue, S Xie, Y Xia, A Tripp, K Maziarz, M Segler, T Qin, Z Zhang, ...
International Conference on Machine Learning (ICML 2023), 2023
Re-evaluating Retrosynthesis algorithms with syntheseus
K Maziarz, A Tripp, G Liu, M Stanley, S Xie, P Gaiński, P Seidl, M Segler
arXiv preprint arXiv:2310.19796, 2023
Token-level Direct Preference Optimization
Y Zeng, G Liu, W Ma, N Yang, H Zhang, J Wang
International Conference on Machine Learning (ICML 2024), 2024
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
X Hu, G Liu, Y Zhao, H Zhang
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
Independence-aware advantage estimation
P Zhang, L Zhao, G Liu, J Bian, M Huang, T Qin, TY Liu
International Joint Conference on Artificial Intelligence (IJCAI 2021), 2019
Efficiently incorporating quintuple interactions into geometric deep learning force fields
Z Wang, G Liu, Y Zhou, T Wang, B Shao
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning
H Wu, L Wu, G Liu, Z Liu, B Shao, Z Wang
arXiv preprint arXiv:2405.16511, 2024
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution
Y Tang, XQ Cai, YX Ding, Q Wu, G Liu, M Sugiyama
ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 2024
Empirical Evidence for the Fragment level Understanding on Drug Molecular Structure of LLMs
X Hu, G Liu, Y Zhao, H Zhang
Workshop on Large Language Models for Biological Discoveries (AAAI-W 2024), 2024
Pixel-based automated testing of a navigable simulated environment
G Liu, L Zhao, T Qin, AL Brown, JE BISCHOFF, LIU Tieyan
US Patent App. 18/353,327, 2023
De novo Drug Design against SARS-CoV-2 Protein Targets using SMILES-based Deep Reinforcement Learning
X Hu, Y Li, G Liu, Y Zhao, H Zhang, L Zhao
Proceedings of the 2023 11th International Conference on Information …, 2023
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