Yi Wu
Title
Cited by
Cited by
Year
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, Y Wu, A Tamar, J Harb, P Abbeel, I Mordatch
arXiv preprint arXiv:1706.02275, 2017
12322017
Value iteration networks
A Tamar, Y Wu, G Thomas, S Levine, P Abbeel
arXiv preprint arXiv:1602.02867, 2016
4492016
Building generalizable agents with a realistic and rich 3d environment
Y Wu, Y Wu, G Gkioxari, Y Tian
arXiv preprint arXiv:1801.02209, 2018
1882018
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
1742019
Adversarial training for relation extraction
Y Wu, D Bamman, S Russell
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
1452017
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 (01), 4213-4220, 2019
662019
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 (01), 1401-1408, 2019
322019
Swift: Compiled inference for probabilistic programming languages
Y Wu, L Li, S Russell, R Bodik
arXiv preprint arXiv:1606.09242, 2016
31*2016
Bayesian relational memory for semantic visual navigation
Y Wu, Y Wu, A Tamar, S Russell, G Gkioxari, Y Tian
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
29*2019
Meta-learning MCMC proposals
T Wang, Y Wu, DA Moore, SJ Russell
arXiv preprint arXiv:1708.06040, 2017
212017
Influence-based multi-agent exploration
T Wang, J Wang, Y Wu, C Zhang
arXiv preprint arXiv:1910.05512, 2019
162019
Understanding and evaluating sparse linear discriminant analysis
Y Wu, D Wipf, JM Yun
Artificial Intelligence and Statistics, 1070-1078, 2015
162015
Dual-space analysis of the sparse linear model
D Wipf, Y Wu
arXiv preprint arXiv:1207.2422, 2012
162012
Discrete-continuous mixtures in probabilistic programming: Generalized semantics and inference algorithms
Y Wu, S Srivastava, N Hay, S Du, S Russell
International Conference on Machine Learning, 5343-5352, 2018
152018
Multi-task reinforcement learning with soft modularization
R Yang, H Xu, Y Wu, X Wang
arXiv preprint arXiv:2003.13661, 2020
102020
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
102020
A nearly-black-box online algorithm for joint parameter and state estimation in temporal models
Y Erol, Y Wu, L Li, S Russell
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
4*2017
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
S Xu, X Zhang, Y Wu, F Wei, M Zhou
arXiv preprint arXiv:2010.08242, 2020
22020
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
22014
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
Z Tang, C Yu, B Chen, H Xu, X Wang, F Fang, S Du, Y Wang, Y Wu
arXiv preprint arXiv:2103.04564, 2021
12021
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