Yi Wu
Yi Wu
Researcher, OpenAI Inc.
Verified email at cs.berkeley.edu - Homepage
Cited by
Cited by
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, YI Wu, A Tamar, J Harb, OAIP Abbeel, I Mordatch
Advances in neural information processing systems, 6379-6390, 2017
Value iteration networks
A Tamar, Y Wu, G Thomas, S Levine, P Abbeel
Advances in Neural Information Processing Systems, 2154-2162, 2016
Building generalizable agents with a realistic and rich 3d environment
Y Wu, Y Wu, G Gkioxari, Y Tian
arXiv preprint arXiv:1801.02209, 2018
Adversarial training for relation extraction
Y Wu, D Bamman, S Russell
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
Emergent tool use from multi-agent autocurricula
B Baker, I Kanitscheider, T Markov, Y Wu, G Powell, B McGrew, ...
arXiv preprint arXiv:1909.07528, 2019
Robust multi-agent reinforcement learning via minimax deep deterministic policy gradient
S Li, Y Wu, X Cui, H Dong, F Fang, S Russell
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4213-4220, 2019
Swift: Compiled inference for probabilistic programming languages
Y Wu, L Li, S Russell, R Bodik
arXiv preprint arXiv:1606.09242, 2016
Deep reinforcement learning for green security games with real-time information
Y Wang, ZR Shi, L Yu, Y Wu, R Singh, L Joppa, F Fang
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1401-1408, 2019
Bayesian relational memory for semantic visual navigation
Y Wu, Y Wu, A Tamar, S Russell, G Gkioxari, Y Tian
Proceedings of the IEEE International Conference on Computer Vision, 2769-2779, 2019
Dual-space analysis of the sparse linear model
Y Wu, DP Wipf
Advances in Neural Information Processing Systems, 1745-1753, 2012
Understanding and evaluating sparse linear discriminant analysis
Y Wu, D Wipf, JM Yun
Artificial Intelligence and Statistics, 1070-1078, 2015
Meta-learning MCMC proposals
T Wang, Y Wu, D Moore, SJ Russell
Advances in neural information processing systems, 4146-4156, 2018
Discrete-continuous mixtures in probabilistic programming: Generalized semantics and inference algorithms
Y Wu, S Srivastava, N Hay, S Du, S Russell
arXiv preprint arXiv:1806.02027, 2018
Influence-based multi-agent exploration
T Wang, J Wang, Y Wu, C Zhang
arXiv preprint arXiv:1910.05512, 2019
Multi-Task Reinforcement Learning with Soft Modularization
R Yang, H Xu, Y Wu, X Wang
arXiv preprint arXiv:2003.13661, 2020
A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models.
YB Erol, Y Wu, L Li, SJ Russell
AAAI, 1861-1869, 2017
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning
Q Long, Z Zhou, A Gupta, F Fang, Y Wu, X Wang
arXiv preprint arXiv:2003.10423, 2020
BFiT: From possible-world semantics to random-evaluation semantics in open universe
Y Wu, L Li, SJ Russell
Neural Information Processing Systems, Probabilistic Programming workshop, 2014
Near-linear time local polynomial nonparametric estimation
Y Wang, Y Wu, SS Du
arXiv preprint arXiv:1802.09578, 2018
Approximated Temporal-Induced Neural Self-Play for Finitely Repeated Bayesian Games
Z Zhou, ZR Shi, Y Wu, F Fang
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