Bradly Stadie
Bradly Stadie
Post Doc, Vector Institute
Verified email at vectorinstitute.ai - Homepage
Title
Cited by
Cited by
Year
One-shot imitation learning
Y Duan, M Andrychowicz, B Stadie, OAIJ Ho, J Schneider, I Sutskever, ...
Advances in neural information processing systems, 1087-1098, 2017
3582017
Incentivizing exploration in reinforcement learning with deep predictive models
BC Stadie, S Levine, P Abbeel
arXiv preprint arXiv:1507.00814, 2015
2462015
Third-person imitation learning
BC Stadie, P Abbeel, I Sutskever
arXiv preprint arXiv:1703.01703, 2017
1282017
Evolved policy gradients
R Houthooft, Y Chen, P Isola, B Stadie, F Wolski, OAIJ Ho, P Abbeel
Advances in Neural Information Processing Systems, 5400-5409, 2018
822018
Some considerations on learning to explore via meta-reinforcement learning
BC Stadie, G Yang, R Houthooft, X Chen, Y Duan, Y Wu, P Abbeel, ...
arXiv preprint arXiv:1803.01118, 2018
482018
Transfer learning for estimating causal effects using neural networks
SR Künzel, BC Stadie, N Vemuri, V Ramakrishnan, JS Sekhon, P Abbeel
arXiv preprint arXiv:1808.07804, 2018
112018
One-shot pruning of recurrent neural networks by jacobian spectrum evaluation
MS Zhang, B Stadie
arXiv preprint arXiv:1912.00120, 2019
12019
Estimating heterogeneous treatment effects using neural networks with the Y-Learner
BC Stadie, SR Künzel, N Vemuri, JS Sekhon
12018
Learning Intrinsic Rewards as a Bi-Level Optimization Problem
B Stadie, L Zhang, J Ba
Conference on Uncertainty in Artificial Intelligence, 111-120, 2020
2020
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
S Pitis, H Chan, S Zhao, B Stadie, J Ba
arXiv preprint arXiv:2007.02832, 2020
2020
One Demonstration Imitation Learning
BC Stadie, S Zhao, Q Xu, B Li, L Zhang
2019
Simulating the stochastic dynamics and cascade failure of power networks
C Matthews, B Stadie, J Weare, M Anitescu, C Demarco
arXiv preprint arXiv:1806.02420, 2018
2018
Learning as a Sampling Problem
BC Stadie
UC Berkeley, 2018
2018
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning Download PDF
S Pitis, H Chan, S Zhao, B Stadie, J Ba
Evolved Policy Gradients: Supplementary Materials
R Houthooft, RY Chen, P Isola, BC Stadie, F Wolski, J Ho, P Abbeel
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