Yi Wu

According to our database, Yi Wu authored at least 88 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control.

Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang

IEEE Robotics Autom. Lett., 2024

Quarl: A Learning-Based Quantum Circuit Optimizer.

Zikun Li, Jinjun Peng, Yixuan Mei, Sina Lin, Yi Wu, Oded Padon, Zhihao Jia

Proc. ACM Program. Lang., 2024

Few-shot In-Context Preference Learning Using Large Language Models.

Chao Yu, Hong Lu, Jiaxuan Gao, Qixin Tan, Xinting Yang, Yu Wang, Yi Wu, Eugene Vinitsky

CoRR, 2024

On Designing Effective RL Reward at Training Time for LLM Reasoning.

Jiaxuan Gao, Shusheng Xu, Wenjie Ye, Weilin Liu, Chuyi He, Wei Fu, Zhiyu Mei, Guangju Wang, Yi Wu

CoRR, 2024

ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation.

Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, Yi Wu

CoRR, 2024

FlightBench: A Comprehensive Benchmark of Spatial Planning Methods for Quadrotors.

Shu-Ang Yu, Chao Yu, Feng Gao, Yi Wu, Yu Wang

CoRR, 2024

Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models.

Yutao Ouyang, Jinhan Li, Yunfei Li, Zhongyu Li, Chao Yu, Koushil Sreenath, Yi Wu

CoRR, 2024

Leveraging Symmetry in RL-based Legged Locomotion Control.

Zhi Su, Xiaoyu Huang, Daniel Felipe Ordoñez Apraez, Yunfei Li, Zhongyu Li, Qiayuan Liao, Giulio Turrisi, Massimiliano Pontil, Claudio Semini, Yi Wu, Koushil Sreenath

CoRR, 2024

Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing.

Ying Yuan, Haichuan Che, Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Kang-Won Lee, Yi Wu, Soo-Chul Lim, Xiaolong Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

LAGOON: Language-Guided Motion Control.

Shusheng Xu, Huaijie Wang, Yutao Ouyang, Jiaxuan Gao, Zhiyu Mei, Chao Yu, Yi Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study.

Shusheng Xu, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, Yi Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.

Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations.

Feng Gao, Liangzhi Shi, Shenao Zhang, Zhaoran Wang, Yi Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores.

Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets.

Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure.

Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination.

Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning.

Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization.

Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du

Trans. Mach. Learn. Res., 2023

Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning.

Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu

Trans. Mach. Learn. Res., 2023

Learning Agile Bipedal Motions on a Quadrupedal Robot.

Yunfei Li, Jinhan Li, Wei Fu, Yi Wu

CoRR, 2023

BitNet: Scaling 1-bit Transformers for Large Language Models.

Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei

CoRR, 2023

DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data.

Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jinyao Zhang, Yongyan Liu, Yi Wu

CoRR, 2023

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores.

Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, Yi Wu

CoRR, 2023

Language-Guided Generation of Physically Realistic Robot Motion and Control.

Shusheng Xu, Huaijie Wang, Jiaxuan Gao, Yutao Ouyang, Chao Yu, Yi Wu

CoRR, 2023

Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning.

Qian Luo, Yunfei Li, Yi Wu

CoRR, 2023

Iteratively Learn Diverse Strategies with State Distance Information.

Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PhyloTransformer: A Self-supervised Discriminative Model for SARS-CoV-2 Viral Mutation Prediction Based on a Multi-head Self-attention Mechanism.

Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu

Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Automatic Truss Design with Reinforcement Learning.

Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning.

Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SpeedyZero: Mastering Atari with Limited Data and Time.

Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao, Yi Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased.

Chao Yu, Jiaxuan Gao, Weilin Liu, Botian Xu, Hao Tang, Jiaqi Yang, Yu Wang, Yi Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration.

Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games.

Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Differentiable Arbitrating in Zero-sum Markov Games.

Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination.

Rui Zhao, Jinming Song, Yufeng Yuan, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Wei Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract).

Kevin Du, Ian Gemp, Yi Wu, Yingying Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process.

Kevin Du, Ian Gemp, Yi Wu, Yingying Wu

CoRR, 2022

Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems.

Runlong Zhou, Yuandong Tian, Yi Wu, Simon S. Du

CoRR, 2022

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning.

Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games.

Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre M. Bayen, Yi Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grounded Reinforcement Learning: Learning to Win the Game under Human Commands.

Shusheng Xu, Huaijie Wang, Yi Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets.

Yunfei Li, Tao Kong, Lei Li, Yi Wu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning.

Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu

Proceedings of the International Conference on Machine Learning, 2022

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning.

Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu

Proceedings of the International Conference on Machine Learning, 2022

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization.

Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Efficient Multi-agent Cooperative Visual Exploration.

Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

Sequence Level Contrastive Learning for Text Summarization.

Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels.

Yining Wang, Yi Wu, Simon S. Du

INFORMS J. Comput., 2021

Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination.

Rui Zhao, Jinming Song, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei

CoRR, 2021

A Benchmark for Low-Switching-Cost Reinforcement Learning.

Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu

CoRR, 2021

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward.

Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang

CoRR, 2021

PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism.

Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu

CoRR, 2021

Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation.

Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang

CoRR, 2021

The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games.

Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre M. Bayen, Yi Wu

CoRR, 2021

NovelD: A Simple yet Effective Exploration Criterion.

Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension.

Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems.

Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Design and Construct Bridge without Blueprint.

Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Temporal Induced Self-Play for Stochastic Bayesian Games.

Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization.

Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu

Proceedings of the 9th International Conference on Learning Representations, 2021

Solving Compositional Reinforcement Learning Problems via Task Reduction.

Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu

Proceedings of the 9th International Conference on Learning Representations, 2021

Unlocking the Potential of MAPPO with Asynchronous Optimization.

Wei Fu, Chao Yu, Yunfei Li, Yi Wu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

BeBold: Exploration Beyond the Boundary of Explored Regions.

Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

CoRR, 2020

Multi-Agent Collaboration via Reward Attribution Decomposition.

Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

CoRR, 2020

Multi-Task Reinforcement Learning with Soft Modularization.

Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning.

Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Emergent Tool Use From Multi-Agent Autocurricula.

Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch

Proceedings of the 8th International Conference on Learning Representations, 2020

Influence-Based Multi-Agent Exploration.

Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers.

Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Bayesian Relational Memory for Semantic Visual Navigation.

Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Reinforcement Learning for Green Security Games with Real-Time Information.

Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient.

Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning and Planning with a Semantic Model.

Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

CoRR, 2018

Near-Linear Time Local Polynomial Nonparametric Estimation.

Yining Wang, Yi Wu, Simon S. Du

CoRR, 2018

Meta-Learning MCMC Proposals.

Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms.

Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell

Proceedings of the 35th International Conference on Machine Learning, 2018

Building Generalizable Agents with a Realistic and Rich 3D Environment.

Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian

Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Reinforcement Learning for Green Security Game with Online Information.

Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Neural Block Sampling.

Tongzhou Wang, Yi Wu, David A. Moore, Stuart J. Russell

CoRR, 2017

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.

Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Training for Relation Extraction.

Yi Wu, David Bamman, Stuart Russell

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models.

Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Towards Practical Bayesian Parameter and State Estimation.

Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell

CoRR, 2016

Value Iteration Networks.

Aviv Tamar, Sergey Levine, Pieter Abbeel, Yi Wu, Garrett Thomas

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Swift: Compiled Inference for Probabilistic Programming Languages.

Yi Wu, Lei Li, Stuart Russell, Rastislav Bodík

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Understanding and Evaluating Sparse Linear Discriminant Analysis.

Yi Wu, David P. Wipf, Jeong-Min Yun

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2012

Dual-Space Analysis of the Sparse Linear Model.

David P. Wipf, Yi Wu

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012