Shanghai Qi Zhi Institute PI, Assistant Professor at IIIS, Tsinghua.
Yi Wu btained Ph.D. degree in 2019 from the University of California, Berkeley, under the supervision of Professor Stuart Russell. After graduating, worked as a researcher at OpenAI in the United States. Research focus includes improving the generalization performance of AI systems, spanning various aspects of the AI field such as deep reinforcement learning, multi-agent systems, and natural language understanding. Their paper, "Value Iteration Network," won the Best Paper Award at the prestigious machine learning conference NIPS 2016.
Human-AI Interaction
Technologies of human-AI collaboration, and develop the next-generation of human-AI interaction paradigm
Multi-agent Reinforcement Learning
The algorithm and application of multi-agent reinforcement learning
Reinforcement Learning
The algorithm and application of reinforcement learning
Robotics with reinforcement learning
Robotic control driven by reinforcement learning algorithms
28. Weihua Du*, Jinglun Zhao*, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu, Automatics Truss Design with Reinforcement Learning, International Joint Conference on Artificial Intelligence (IJCAI), 2023 查看PDF
27. Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, Yi Wu, SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores, ICML Workshop, 2023 查看PDF
26. Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang and Yi Wu, Fictitious Cross-Play: Learning Nash Equilibrium in Mixed Cooperative-Competitive Games, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023 查看PDF
25. Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao, Yi Wu, SpeedyZero: Mastering Atari with Limited Data and Time, International Conference on Learning Representation (ICLR), 2023 查看PDF
24. Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu, Iteratively Learn Diverse Strategies with State Distance Information, Conference on Neural Information Processing Systems (NeurIPS), 2023 查看PDF
23. Yunfei Li*, Chaoyi Pan*, Huazhe Xu, Xiaolong Wang, Yi Wu, Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning, International Conference on Robot Automation (ICRA), 2023 查看PDF
22. Chao Yu*, Xinyi Yang*, Jiaxuan Gao*, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu and Yu Wang, Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023 查看PDF
21. Jing Wang*, Meichen Song*, Feng Gao*, Boyi Liu, Zhaoran Wang and Yi Wu, Differentiable Arbitrating in Zero-sum Markov Games, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023 查看PDF
20. Chao Yu*, Jiaxuan Gao*, Weilin Liu, Botian Xu, Hao Tang, Jiaqi Yang, Yu Wang, Yi Wu, Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased, International Conference on Learning Representation (ICLR), 2023 查看PDF
19. Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu, Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning, Transactions on Machine Learning Research (TMLR), 2023 查看PDF
18. Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Sequence Level Contrastive Learning for Text Summarization, Association for the Advancement of Artificial Intelligence (AAAI), 2022 查看PDF
17. Yunfei Li, Tao Kong, Lei Li, Yi Wu, Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets, International Conference on Robot Automation (ICRA), 2022 查看PDF
16. Zihan Zhou*, Wei Fu*, Bingliang Zhang, Yi Wu, Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization, International Conference on Learning Representation (ICLR), 2022 查看PDF
15. Yunfei Li*, Tian Gao*, Jiaqi Yang, Huazhe Xu, Yi Wu, Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning, International Conference on Machine Learning (ICML), 2022 查看PDF
14. Chao Yu*, Xinyi Yang*, Jiaxuan Gao*, Huazhong Yang, Yu Wang, Yi Wu, Learning Efficient Multi-Agent Cooperative Visual Exploration, European Conference on Computer Vision (ECCV), 2022 查看PDF
13. Zhecheng Yuan*, Zhengrong Xue*, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu, Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning, Conference on Neural Information Processing Systems (NeurIPS), 2022 查看PDF
12. Shusheng Xu, Huaijie Wang, Yi Wu, Grounded Reinforcement Learning: Learning to Win the Game under Human Commands, Conference on Neural Information Processing Systems (NeurIPS), 2022 查看PDF
11. Zhenggang Tang*, Chao Yu*, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu, Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization, International Conference on Learning Representation (ICLR), 2022 查看PDF
10. Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu, Solving Compositional Reinforcement Learning Problems via Task Reduction, International Conference on Learning Representation (ICLR), 2022 查看PDF
9. Weizhe Chen*, Zihan Zhou*, Yi Wu, Fei Fang, Temporal Induced Self-Play for Stochastic Bayesian Games, International Joint Conference on Artificial Intelligence (IJCAI), 2022 查看PDF
8. Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu, Learning to Design and Construct Bridge without Blueprint, International Conference on Intelligent Robots and Systems (IROS), 2022 查看PDF
7. Shusheng Xu*, Yichen Liu*, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu, Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension, Conference on Neural Information Processing Systems (NeurIPS), 2022 查看PDF
6. Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian, NovelD: A Simple yet Effective Exploration Criterion, Conference on Neural Information Processing Systems (NeurIPS), 2022 查看PDF
5. Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou, Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 查看PDF
4. Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang, Multi-Task Reinforcement Learning with Soft Modularization, Conference on Neural Information Processing Systems (NeurIPS), 2022 查看PDF
3. Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu, Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning, International Conference on Machine Learning (ICML), 2022 查看PDF
2. Chao Yu*, Akash Velu*, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre Bayen, Yi Wu, The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games, Conference on Neural Information Processing Systems (NeurIPS), 2022 查看PDF
1. Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu, Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems, Conference on Neural Information Processing Systems (NeurIPS), 2021 查看PDF
