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ORCIDYi Wu 0013
Person information
- affiliation: Tsinghua University, Institute of Interdisciplinary Information Sciences (IIIS), Beijing, China
- affiliation (PhD 2019): University of California, Berkeley, CA, USA
- affiliation: Microsoft Research Asia
Other persons with the same name
- Yi Wu — disambiguation page
- Yi Wu 0001 — Nanjing University of Science and Technology, China (and 2 more)
- Yi Wu 0002 — Google (and 3 more)
- Yi Wu 0003 — National University of Defense Technology, Changsha
- Yi Wu 0004 — Ericsson China, Beijing, China (and 2 more)
- Yi Wu 0005 — Intel Corporation (and 1 more)
- Yi Wu 0006 — Agder University College, Norway (and 1 more)
- Yi Wu 0007
![[0000-0002-4288-5228]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4288-5228")
— Tianjin University, Department of Information Management and Management Science, China (and 1 more) - Yi Wu 0008 — Xi'an Jiaotong University, State Key Lab of Electrical Insulation and Power Equipment, China
- Yi Wu 0009 — Ericsson Sweden, Lund (and 1 more)
- Yi Wu 0010 — Fujian Normal University, College of Photonic and Electronic Engineering, Fuzhou, China (and 1 more)
- Yi Wu 0011 — State Grid Shanghai Electrical Power Research Institute, China (and 1 more)
- Yi Wu 0012 — Zhejiang University, China
- Yi Wu 0014 — Third Military Medical University, Chongqing, China
- Yi Wu 0015 — Beijing Institute of Technology
- Yi Wu 0016 (aka: Yi Alice Wu) — Oracle (and 1 more)
- Yi Wu 0017 — Harbin Engineering University, College of Automation, China
- Yi Wu 0018 — University of Science and Technology of China, Big Data and Decision Lab, Hefei, China
- Yi Wu 0019 — University of Science and Technology of China, Key Lab of Computing and Communication Software, Hefei, China
- Yi Wu 0020 — University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA
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2020 – today
- 2024
[j3]Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang:
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control. IEEE Robotics Autom. Lett. 9(3): 2838-2844 (2024)- [c48]Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu:
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. AAAI 2024: 11320-11328 - 2023
- [j2]Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu:
Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c47]Rui Zhao, Jinming Song, Yufeng Yuan, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Wei Yang:
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination. AAAI 2023: 6145-6153 - [c46]Kevin Du, Ian Gemp, Yi Wu, Yingying Wu:
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract). AAAI 2023: 16204-16205 - [c45]Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu:
Differentiable Arbitrating in Zero-sum Markov Games. AAMAS 2023: 1034-1043 - [c44]Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu:
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games. AAMAS 2023: 1053-1061 - [c43]Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang:
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. AAMAS 2023: 1107-1115 - [c42]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. ICLR 2023 - [c41]Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao, Yi Wu:
SpeedyZero: Mastering Atari with Limited Data and Time. ICLR 2023 - [c40]Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu:
Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning. ICRA 2023: 3867-3874 - [c39]Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu:
Automatic Truss Design with Reinforcement Learning. IJCAI 2023: 3659-3667 - [c38]Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu:
PhyloTransformer: A Self-supervised Discriminative Model for SARS-CoV-2 Viral Mutation Prediction Based on a Multi-head Self-attention Mechanism. KDH@IJCAI 2023 - [c37]Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu:
Iteratively Learn Diverse Strategies with State Distance Information. NeurIPS 2023 - [i49]Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang:
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. CoRR abs/2301.03398 (2023) - [i48]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. CoRR abs/2302.01605 (2023) - [i47]Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu:
Differentiable Arbitrating in Zero-sum Markov Games. CoRR abs/2302.10058 (2023) - [i46]Qian Luo, Yunfei Li, Yi Wu:
Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning. CoRR abs/2303.17919 (2023) - [i45]Shusheng Xu, Huaijie Wang, Jiaxuan Gao, Yutao Ouyang, Chao Yu, Yi Wu:
Language-Guided Generation of Physically Realistic Robot Motion and Control. CoRR abs/2306.10518 (2023) - [i44]Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu:
Automatic Truss Design with Reinforcement Learning. CoRR abs/2306.15182 (2023) - [i43]Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, Yi Wu:
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores. CoRR abs/2306.16688 (2023) - [i42]Zikun Li, Jinjun Peng, Yixuan Mei, Sina Lin, Yi Wu, Oded Padon, Zhihao Jia:
Quarl: A Learning-Based Quantum Circuit Optimizer. CoRR abs/2307.10120 (2023) - [i41]Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang:
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control. CoRR abs/2309.12825 (2023) - [i40]Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu:
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games. CoRR abs/2310.03354 (2023) - [i39]Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu:
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. CoRR abs/2310.04796 (2023) - [i38]Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei:
BitNet: Scaling 1-bit Transformers for Large Language Models. CoRR abs/2310.11453 (2023) - [i37]Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu:
Iteratively Learn Diverse Strategies with State Distance Information. CoRR abs/2310.14509 (2023) - [i36]Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu:
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. CoRR abs/2310.18940 (2023) - [i35]Yunfei Li, Jinhan Li, Wei Fu, Yi Wu:
Learning Agile Bipedal Motions on a Quadrupedal Robot. CoRR abs/2311.05818 (2023) - [i34]Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang:
LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination. CoRR abs/2312.15224 (2023) - 2022
- [c36]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei:
Sequence Level Contrastive Learning for Text Summarization. AAAI 2022: 11556-11565 - [c35]Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu:
Learning Efficient Multi-agent Cooperative Visual Exploration. ECCV (39) 2022: 497-515 - [c34]Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu:
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization. ICLR 2022 - [c33]Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu:
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning. ICML 2022: 6863-6877 - [c32]Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu:
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. ICML 2022: 12765-12781 - [c31]Yunfei Li, Tao Kong, Lei Li, Yi Wu:
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets. ICRA 2022: 7469-7476 - [c30]Shusheng Xu, Huaijie Wang, Yi Wu:
Grounded Reinforcement Learning: Learning to Win the Game under Human Commands. NeurIPS 2022 - [c29]Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre M. Bayen, Yi Wu:
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games. NeurIPS 2022 - [i33]Runlong Zhou, Yuandong Tian, Yi Wu, Simon S. Du:
Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems. CoRR abs/2202.05423 (2022) - [i32]Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu:
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization. CoRR abs/2204.02246 (2022) - [i31]Yunfei Li, Tao Kong, Lei Li, Yi Wu:
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets. CoRR abs/2204.05509 (2022) - [i30]Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu:
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2206.07505 (2022) - [i29]Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu:
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. CoRR abs/2206.12030 (2022) - [i28]Kevin Du, Ian Gemp, Yi Wu, Yingying Wu:
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process. CoRR abs/2211.09622 (2022) - 2021
- [j1]Yining Wang, Yi Wu, Simon S. Du:
Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels. INFORMS J. Comput. 33(4): 1339-1353 (2021) - [c28]Wei Fu, Chao Yu, Yunfei Li, Yi Wu:
Unlocking the Potential of MAPPO with Asynchronous Optimization. CICAI (2) 2021: 395-407 - [c27]Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu:
Solving Compositional Reinforcement Learning Problems via Task Reduction. ICLR 2021 - [c26]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. ICLR 2021 - [c25]Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang:
Temporal Induced Self-Play for Stochastic Bayesian Games. IJCAI 2021: 96-103 - [c24]Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu:
Learning to Design and Construct Bridge without Blueprint. IROS 2021: 2398-2405 - [c23]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. NeurIPS 2021: 9681-9693 - [c22]Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu:
Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension. NeurIPS Datasets and Benchmarks 2021 - [c21]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS 2021: 25217-25230 - [i27]Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre M. Bayen, Yi Wu:
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games. CoRR abs/2103.01955 (2021) - [i26]Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon S. Du, Yu Wang, Yi Wu:
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. CoRR abs/2103.04564 (2021) - [i25]Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu:
Solving Compositional Reinforcement Learning Problems via Task Reduction. CoRR abs/2103.07607 (2021) - [i24]Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang:
Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation. CoRR abs/2106.05907 (2021) - [i23]Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu:
Learning to Design and Construct Bridge without Blueprint. CoRR abs/2108.02439 (2021) - [i22]Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang:
Temporal Induced Self-Play for Stochastic Bayesian Games. CoRR abs/2108.09444 (2021) - [i21]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei:
Sequence Level Contrastive Learning for Text Summarization. CoRR abs/2109.03481 (2021) - [i20]Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu:
Learning Efficient Multi-Agent Cooperative Visual Exploration. CoRR abs/2110.05734 (2021) - [i19]Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu:
PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism. CoRR abs/2111.01969 (2021) - [i18]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. CoRR abs/2111.04613 (2021) - [i17]Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang:
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward. CoRR abs/2112.06185 (2021) - [i16]Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu:
Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension. CoRR abs/2112.06494 (2021) - [i15]Rui Zhao, Jinming Song, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei:
Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination. CoRR abs/2112.11701 (2021) - 2020
- [c20]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou:
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. EMNLP (Findings) 2020: 1784-1795 - [c19]Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang:
Influence-Based Multi-Agent Exploration. ICLR 2020 - [c18]Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch:
Emergent Tool Use From Multi-Agent Autocurricula. ICLR 2020 - [c17]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. ICLR 2020 - [c16]Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang:
Multi-Task Reinforcement Learning with Soft Modularization. NeurIPS 2020 - [i14]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. CoRR abs/2003.10423 (2020) - [i13]Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang:
Multi-Task Reinforcement Learning with Soft Modularization. CoRR abs/2003.13661 (2020) - [i12]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou:
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. CoRR abs/2010.08242 (2020) - [i11]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR abs/2010.08531 (2020) - [i10]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR abs/2012.08621 (2020)
2010 – 2019
- 2019
- [c15]Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. AAAI 2019: 1401-1408 - [c14]Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell:
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. AAAI 2019: 4213-4220 - [c13]Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian:
Bayesian Relational Memory for Semantic Visual Navigation. ICCV 2019: 2769-2779 - [i9]Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian:
Bayesian Relational Memory for Semantic Visual Navigation. CoRR abs/1909.04306 (2019) - [i8]Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch:
Emergent Tool Use From Multi-Agent Autocurricula. CoRR abs/1909.07528 (2019) - [i7]Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang:
Influence-Based Multi-Agent Exploration. CoRR abs/1910.05512 (2019) - 2018
- [c12]Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Game with Online Information. AAAI Workshops 2018: 325-333 - [c11]Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian:
Building Generalizable Agents with a Realistic and Rich 3D Environment. ICLR (Workshop) 2018 - [c10]Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell:
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. ICML 2018: 5339-5348 - [c9]Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell:
Meta-Learning MCMC Proposals. NeurIPS 2018: 4150-4160 - [i6]Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian:
Building Generalizable Agents with a Realistic and Rich 3D Environment. CoRR abs/1801.02209 (2018) - [i5]Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell:
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. CoRR abs/1806.02027 (2018) - [i4]Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR abs/1811.02483 (2018) - 2017
- [c8]Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell:
A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. AAAI 2017: 1861-1869 - [c7]Yi Wu, David Bamman, Stuart Russell:
Adversarial Training for Relation Extraction. EMNLP 2017: 1778-1783 - [c6]Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel:
Value Iteration Networks. IJCAI 2017: 4949-4953 - [c5]Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch:
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. NIPS 2017: 6379-6390 - [i3]Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch:
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. CoRR abs/1706.02275 (2017) - 2016
- [c4]Yi Wu, Lei Li, Stuart Russell, Rastislav Bodík:
Swift: Compiled Inference for Probabilistic Programming Languages. IJCAI 2016: 3637-3645 - [c3]Aviv Tamar, Sergey Levine, Pieter Abbeel, Yi Wu, Garrett Thomas:
Value Iteration Networks. NIPS 2016: 2146-2154 - [i2]Yi Wu, Lei Li, Stuart Russell, Rastislav Bodík:
Swift: Compiled Inference for Probabilistic Programming Languages. CoRR abs/1606.09242 (2016) - 2015
- [c2]Yi Wu, David P. Wipf, Jeong-Min Yun:
Understanding and Evaluating Sparse Linear Discriminant Analysis. AISTATS 2015 - 2012
- [c1]David P. Wipf, Yi Wu:
Dual-Space Analysis of the Sparse Linear Model. NIPS 2012: 1754-1762 - [i1]David P. Wipf, Yi Wu:
Dual-Space Analysis of the Sparse Linear Model. CoRR abs/1207.2422 (2012)
Coauthor Index
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