Yi Wu - RankMe

153 papers A* 43A 10Journal 88Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation. CoRR Lu Yang, Zelai Xu, Minyang Xie, Jiaxuan Gao, Zhao Shok, Yu Wang, Yi Wu
2025	J	`jnl`	Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL. CoRR Jiaxuan Gao, Wei Fu, Minyang Xie, Shusheng Xu, Chuyi He, Zhiyu Mei, Banghua Zhu, Yi Wu
2025	J	`jnl`	BitNet: 1-bit Pre-training for Large Language Models. J. Mach. Learn. Res. Hongyu Wang, Shuming Ma, Lingxiao Ma, Lei Wang, Wenhui Wang, Li Dong, Shaohan Huang, Huaijie Wang, Jilong Xue, Ruiping Wang, Yi Wu, Furu Wei
2025	J	`jnl`	D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning. CoRR Shu-Ang Yu, Feng Gao, Yi Wu, Chao Yu, Yu Wang
2025	J	`jnl`	Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn. CoRR Chao Yu, Qixin Tan, Jiaxuan Gao, Shi Yu, Hong Lu, Xinting Yang, Zelai Xu, Yu Wang, Yi Wu, Eugene Vinitsky
2025	J	`jnl`	Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps. CoRR Ningyuan Yang, Jiaxuan Gao, Feng Gao, Yi Wu, Chao Yu
2025	J	`jnl`	FlightBench: Benchmarking Learning-Based Methods for Ego-Vision-Based Quadrotors Navigation. IEEE Robotics Autom. Lett. Shu-Ang Yu, Chao Yu, Feng Gao, Yi Wu, Yu Wang
2025	J	`jnl`	How Far Are We from Optimal Reasoning Efficiency? CoRR Jiaxuan Gao, Shu Yan, Qixin Tan, Lu Yang, Shusheng Xu, Wei Fu, Zhiyu Mei, Kaifeng Lyu, Yi Wu
2025	J	`jnl`	Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play. J. Mach. Learn. Res. Zelai Xu, Chao Yu, Yancheng Liang, Yi Wu, Yu Wang
2025	A*	`conf`	Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization. ICML Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang
2025	J	`jnl`	Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization. CoRR Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang
2025	A	`conf`	Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models. IROS Yutao Ouyang, Jinhan Li, Yunfei Li, Zhongyu Li, Chao Yu, Koushil Sreenath, Yi Wu
2025	A	`conf`	Multi-UAV Formation Control with Static and Dynamic Obstacle Avoidance via Reinforcement Learning. IROS Yuqing Xie, Chao Yu, Hongzhi Zang, Feng Gao, Wenhao Tang, Jingyi Huang, Jiayu Chen, Botian Xu, Yi Wu, Yu Wang
2025	J	`jnl`	Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback. IEEE Robotics Autom. Lett. Feng Gao, Chao Yu, Yu Wang, Yi Wu
2025	—	`conf`	Offline Reinforcement Learning for LLM Multi-step Reasoning. ACL (Findings) Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang, Yilin Bao, Ziran Yang, Yi Wu
2025	—	`conf`	ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation. MLSys Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, Yi Wu
2025	J	`jnl`	Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams. CoRR Zhi Su, Yuman Gao, Emily Lukas, Yunfei Li, Jiaze Cai, Faris Tulbah, Fei Gao, Chao Yu, Zhongyu Li, Yi Wu, Koushil Sreenath
2025	J	`jnl`	VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments. CoRR Zelai Xu, Zhexuan Xu, Xiangmin Yi, Huining Yuan, Xinlei Chen, Yi Wu, Chao Yu, Yu Wang
2025	J	`jnl`	What Matters in Learning a Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study. IEEE Robotics Autom. Lett. Jiayu Chen, Chao Yu, Yuqing Xie, Feng Gao, Yinuo Chen, Shu'ang Yu, Wenhao Tang, Shilong Ji, Mo Mu, Yi Wu, Huazhong Yang, Yu Wang
2024	A*	`conf`	Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. AAAI Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
2024	A*	`conf`	Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations. ICML Feng Gao, Liangzhi Shi, Shenao Zhang, Zhaoran Wang, Yi Wu
2024	J	`jnl`	Few-shot In-Context Preference Learning Using Large Language Models. CoRR Chao Yu, Hong Lu, Jiaxuan Gao, Qixin Tan, Xinting Yang, Yu Wang, Yi Wu, Eugene Vinitsky
2024	J	`jnl`	FlightBench: A Comprehensive Benchmark of Spatial Planning Methods for Quadrotors. CoRR Shu-Ang Yu, Chao Yu, Feng Gao, Yi Wu, Yu Wang
2024	A*	`conf`	Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study. ICML Shusheng Xu, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, Yi Wu
2024	J	`jnl`	Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study. CoRR Shusheng Xu, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, Yi Wu
2024	A*	`conf`	LAGOON: Language-Guided Motion Control. ICRA Shusheng Xu, Huaijie Wang, Yutao Ouyang, Jiaxuan Gao, Zhiyu Mei, Chao Yu, Yi Wu
2024	A	`conf`	LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination. AAMAS Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang
2024	A*	`conf`	Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. ICML Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu
2024	A*	`conf`	Learning Agile Bipedal Motions on a Quadrupedal Robot. ICRA Yunfei Li, Jinhan Li, Wei Fu, Yi Wu
2024	A	`conf`	Leveraging Symmetry in RL-based Legged Locomotion Control. IROS Zhi Su, Xiaoyu Huang, Daniel Felipe Ordoñez Apraez, Yunfei Li, Zhongyu Li, Qiayuan Liao, Giulio Turrisi, Massimiliano Pontil, Claudio Semini, Yi Wu, Koushil Sreenath
2024	J	`jnl`	Leveraging Symmetry in RL-based Legged Locomotion Control. CoRR Zhi Su, Xiaoyu Huang, Daniel Felipe Ordoñez Apraez, Yunfei Li, Zhongyu Li, Qiayuan Liao, Giulio Turrisi, Massimiliano Pontil, Claudio Semini, Yi Wu, Koushil Sreenath
2024	J	`jnl`	Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models. CoRR Yutao Ouyang, Jinhan Li, Yunfei Li, Zhongyu Li, Chao Yu, Koushil Sreenath, Yi Wu
2024	A	`conf`	MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. AAMAS Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
2024	J	`jnl`	MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. CoRR Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
2024	J	`jnl`	Multi-UAV Behavior-based Formation with Static and Dynamic Obstacles Avoidance via Reinforcement Learning. CoRR Yuqing Xie, Chao Yu, Hongzhi Zang, Feng Gao, Wenhao Tang, Jingyi Huang, Jiayu Chen, Botian Xu, Yi Wu, Yu Wang
2024	J	`jnl`	OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control. IEEE Robotics Autom. Lett. Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang
2024	J	`jnl`	On Designing Effective RL Reward at Training Time for LLM Reasoning. CoRR Jiaxuan Gao, Shusheng Xu, Wenjie Ye, Weilin Liu, Chuyi He, Wei Fu, Zhiyu Mei, Guangju Wang, Yi Wu
2024	J	`jnl`	Quarl: A Learning-Based Quantum Circuit Optimizer. Proc. ACM Program. Lang. Zikun Li, Jinjun Peng, Yixuan Mei, Sina Lin, Yi Wu, Oded Padon, Zhihao Jia
2024	J	`jnl`	ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation. CoRR Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, Yi Wu
2024	A*	`conf`	Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing. ICRA Ying Yuan, Haichuan Che, Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Kang-Won Lee, Yi Wu, Soo-Chul Lim, Xiaolong Wang
2024	A*	`conf`	SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores. ICLR Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu
2024	J	`jnl`	SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging With Neural Networks Based on Ballistocardiograms. CoRR Shuzhen Li, Yuxin Chen, Xuesong Chen, Ruiyang Gao, Yupeng Zhang, Chao Yu, Yunfei Li, Ziyi Ye, Weijun Huang, Hongliang Yi, Yue Leng, Yi Wu
2024	J	`jnl`	SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging with Neural Networks Based on Ballistocardiograms. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shuzhen Li, Yuxin Chen, Xuesong Chen, Ruiyang Gao, Yupeng Zhang, Chao Yu, Yunfei Li, Ziyi Ye, Weijun Huang, Hongliang Yi, Yue Leng, Yi Wu
2024	A*	`conf`	Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
2024	J	`jnl`	What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study. CoRR Jiayu Chen, Chao Yu, Yuqing Xie, Feng Gao, Yinuo Chen, Shu'ang Yu, Wenhao Tang, Shilong Ji, Mo Mu, Yi Wu, Huazhong Yang, Yu Wang
2023	J	`jnl`	Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. CoRR Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
2023	A*	`conf`	AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract). AAAI Kevin Du, Ian Gemp, Yi Wu, Yingying Wu
2023	A	`conf`	Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. AAMAS Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang
2023	J	`jnl`	Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. CoRR Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang
2023	A*	`conf`	Automatic Truss Design with Reinforcement Learning. IJCAI Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu
2023	J	`jnl`	Automatic Truss Design with Reinforcement Learning. CoRR Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu
2023	J	`jnl`	Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning. Trans. Mach. Learn. Res. Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu
2023	J	`jnl`	BitNet: Scaling 1-bit Transformers for Large Language Models. CoRR Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei
2023	J	`jnl`	DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data. CoRR Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jinyao Zhang, Yongyan Liu, Yi Wu
2023	A	`conf`	Differentiable Arbitrating in Zero-sum Markov Games. AAMAS Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
2023	J	`jnl`	Differentiable Arbitrating in Zero-sum Markov Games. CoRR Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
2023	A*	`conf`	Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning. ICRA Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu
2023	A	`conf`	Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games. AAMAS Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu
2023	J	`jnl`	Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games. CoRR Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu
2023	J	`jnl`	Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning. CoRR Qian Luo, Yunfei Li, Yi Wu
2023	A*	`conf`	Iteratively Learn Diverse Strategies with State Distance Information. NeurIPS Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu
2023	J	`jnl`	Iteratively Learn Diverse Strategies with State Distance Information. CoRR Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu
2023	J	`jnl`	LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination. CoRR Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang
2023	J	`jnl`	Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. CoRR Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu
2023	J	`jnl`	Language-Guided Generation of Physically Realistic Robot Motion and Control. CoRR Shusheng Xu, Huaijie Wang, Jiaxuan Gao, Yutao Ouyang, Chao Yu, Yi Wu
2023	J	`jnl`	Learning Agile Bipedal Motions on a Quadrupedal Robot. CoRR Yunfei Li, Jinhan Li, Wei Fu, Yi Wu
2023	A*	`conf`	Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased. ICLR Chao Yu, Jiaxuan Gao, Weilin Liu, Botian Xu, Hao Tang, Jiaqi Yang, Yu Wang, Yi Wu
2023	J	`jnl`	Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased. CoRR Chao Yu, Jiaxuan Gao, Weilin Liu, Botian Xu, Hao Tang, Jiaqi Yang, Yu Wang, Yi Wu
2023	A*	`conf`	Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination. AAAI Rui Zhao, Jinming Song, Yufeng Yuan, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Wei Yang
2023	J	`jnl`	OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control. CoRR Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang
2023	—	`conf`	PhyloTransformer: A Self-supervised Discriminative Model for SARS-CoV-2 Viral Mutation Prediction Based on a Multi-head Self-attention Mechanism. KDH@IJCAI Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu
2023	J	`jnl`	Quarl: A Learning-Based Quantum Circuit Optimizer. CoRR Zikun Li, Jinjun Peng, Yixuan Mei, Sina Lin, Yi Wu, Oded Padon, Zhihao Jia
2023	J	`jnl`	Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing. CoRR Ying Yuan, Haichuan Che, Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Kang-Won Lee, Yi Wu, Soo-Chul Lim, Xiaolong Wang
2023	J	`jnl`	SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores. CoRR Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, Yi Wu
2023	A*	`conf`	SpeedyZero: Mastering Atari with Limited Data and Time. ICLR Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao, Yi Wu
2023	J	`jnl`	Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization. Trans. Mach. Learn. Res. Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du
2022	J	`jnl`	AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process. CoRR Kevin Du, Ian Gemp, Yi Wu, Yingying Wu
2022	A*	`conf`	Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization. ICLR Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu
2022	J	`jnl`	Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization. CoRR Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu
2022	A*	`conf`	Grounded Reinforcement Learning: Learning to Win the Game under Human Commands. NeurIPS Shusheng Xu, Huaijie Wang, Yi Wu
2022	A*	`conf`	Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets. ICRA Yunfei Li, Tao Kong, Lei Li, Yi Wu
2022	J	`jnl`	Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets. CoRR Yunfei Li, Tao Kong, Lei Li, Yi Wu
2022	—	`conf`	Learning Efficient Multi-agent Cooperative Visual Exploration. ECCV (39) Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu
2022	A*	`conf`	Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. ICML Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu
2022	J	`jnl`	Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. CoRR Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu
2022	A*	`conf`	Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. NeurIPS Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
2022	J	`jnl`	Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. CoRR Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
2022	A*	`conf`	Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning. ICML Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu
2022	J	`jnl`	Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning. CoRR Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu
2022	A*	`conf`	Sequence Level Contrastive Learning for Text Summarization. AAAI Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei
2022	A*	`conf`	The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games. NeurIPS Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre M. Bayen, Yi Wu
2022	J	`jnl`	Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems. CoRR Runlong Zhou, Yuandong Tian, Yi Wu, Simon S. Du
2021	J	`jnl`	A Benchmark for Low-Switching-Cost Reinforcement Learning. CoRR Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu
2021	A*	`conf`	Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. ICLR Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu
2021	J	`jnl`	Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. CoRR Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon S. Du, Yu Wang, Yi Wu
2021	J	`jnl`	Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation. CoRR Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang
2021	J	`jnl`	Learning Efficient Multi-Agent Cooperative Visual Exploration. CoRR Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu
2021	A	`conf`	Learning to Design and Construct Bridge without Blueprint. IROS Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu
2021	J	`jnl`	Learning to Design and Construct Bridge without Blueprint. CoRR Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu
2021	J	`jnl`	Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination. CoRR Rui Zhao, Jinming Song, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei
2021	J	`jnl`	Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward. CoRR Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang
2021	—	`conf`	Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension. NeurIPS Datasets and Benchmarks Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu
2021	J	`jnl`	Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension. CoRR Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu
2021	J	`jnl`	Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels. INFORMS J. Comput. Yining Wang, Yi Wu, Simon S. Du
2021	A*	`conf`	NovelD: A Simple yet Effective Exploration Criterion. NeurIPS Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
2021	J	`jnl`	PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism. CoRR Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu
2021	J	`jnl`	Sequence Level Contrastive Learning for Text Summarization. CoRR Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei
2021	A*	`conf`	Solving Compositional Reinforcement Learning Problems via Task Reduction. ICLR Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu
2021	J	`jnl`	Solving Compositional Reinforcement Learning Problems via Task Reduction. CoRR Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu
2021	A*	`conf`	Temporal Induced Self-Play for Stochastic Bayesian Games. IJCAI Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
2021	J	`jnl`	Temporal Induced Self-Play for Stochastic Bayesian Games. CoRR Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
2021	J	`jnl`	The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games. CoRR Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre M. Bayen, Yi Wu
2021	—	`conf`	Unlocking the Potential of MAPPO with Asynchronous Optimization. CICAI (2) Wei Fu, Chao Yu, Yunfei Li, Yi Wu
2021	A*	`conf`	Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems. NeurIPS Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu
2021	J	`jnl`	Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems. CoRR Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu
2020	J	`jnl`	BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
2020	A*	`conf`	Emergent Tool Use From Multi-Agent Autocurricula. ICLR Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch
2020	A*	`conf`	Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. ICLR Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang
2020	J	`jnl`	Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. CoRR Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang
2020	A*	`conf`	Influence-Based Multi-Agent Exploration. ICLR Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
2020	J	`jnl`	Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
2020	A*	`conf`	Multi-Task Reinforcement Learning with Soft Modularization. NeurIPS Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang
2020	J	`jnl`	Multi-Task Reinforcement Learning with Soft Modularization. CoRR Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang
2020	—	`conf`	Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. EMNLP (Findings) Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou
2020	J	`jnl`	Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. CoRR Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou
2019	A*	`conf`	Bayesian Relational Memory for Semantic Visual Navigation. ICCV Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
2019	J	`jnl`	Bayesian Relational Memory for Semantic Visual Navigation. CoRR Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
2019	A*	`conf`	Deep Reinforcement Learning for Green Security Games with Real-Time Information. AAAI Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2019	J	`jnl`	Emergent Tool Use From Multi-Agent Autocurricula. CoRR Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch
2019	J	`jnl`	Influence-Based Multi-Agent Exploration. CoRR Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
2019	A*	`conf`	Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. AAAI Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell
2018	—	`conf`	Building Generalizable Agents with a Realistic and Rich 3D Environment. ICLR (Workshop) Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian
2018	J	`jnl`	Building Generalizable Agents with a Realistic and Rich 3D Environment. CoRR Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian
2018	—	`conf`	Deep Reinforcement Learning for Green Security Game with Online Information. AAAI Workshops Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2018	J	`jnl`	Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2018	A*	`conf`	Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. ICML Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell
2018	J	`jnl`	Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. CoRR Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell
2018	J	`jnl`	Learning and Planning with a Semantic Model. CoRR Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
2018	A*	`conf`	Meta-Learning MCMC Proposals. NeurIPS Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell
2018	J	`jnl`	Near-Linear Time Local Polynomial Nonparametric Estimation. CoRR Yining Wang, Yi Wu, Simon S. Du
2017	A*	`conf`	A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. AAAI Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell
2017	A*	`conf`	Adversarial Training for Relation Extraction. EMNLP Yi Wu, David Bamman, Stuart Russell
2017	—	`conf`	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. NIPS Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch
2017	J	`jnl`	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. CoRR Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch
2017	J	`jnl`	Neural Block Sampling. CoRR Tongzhou Wang, Yi Wu, David A. Moore, Stuart J. Russell
2017	A*	`conf`	Value Iteration Networks. IJCAI Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel
2016	A*	`conf`	Swift: Compiled Inference for Probabilistic Programming Languages. IJCAI Yi Wu, Lei Li, Stuart Russell, Rastislav Bodík
2016	J	`jnl`	Swift: Compiled Inference for Probabilistic Programming Languages. CoRR Yi Wu, Lei Li, Stuart Russell, Rastislav Bodík
2016	J	`jnl`	Towards Practical Bayesian Parameter and State Estimation. CoRR Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell
2016	—	`conf`	Value Iteration Networks. NIPS Aviv Tamar, Sergey Levine, Pieter Abbeel, Yi Wu, Garrett Thomas
2015	A	`conf`	Understanding and Evaluating Sparse Linear Discriminant Analysis. AISTATS Yi Wu, David P. Wipf, Jeong-Min Yun
2012	J	`jnl`	Dual-Space Analysis of the Sparse Linear Model CoRR David P. Wipf, Yi Wu
2012	—	`conf`	Dual-Space Analysis of the Sparse Linear Model. NIPS David P. Wipf, Yi Wu