Bradly C. Stadie

发表

Transfer Learning for Estimating Causal Effects using Neural Networks pdf

Pieter Abbeel, Jasjeet S. Sekhon, Sören R. Künzel, 2018, ArXiv.

World Model as a Graph: Learning Latent Landmarks for Planning pdf

Ge Yang, Bradly C. Stadie, Lunjun Zhang, 2020, ArXiv.

Evolved Policy Gradients

Pieter Abbeel, Phillip Isola, Rein Houthooft, 2018, NeurIPS.

The Importance of Sampling inMeta-Reinforcement Learning

Pieter Abbeel, Peter Chen, Ilya Sutskever, 2018, NeurIPS.

Estimating Heterogeneous Treatment Effects Using Neural Networks With The Y-Learner

Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, 2018 .

Learning as a Sampling Problem

Bradly C. Stadie, 2018 .

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models pdf

Sergey Levine, Pieter Abbeel, Bradly C. Stadie, 2015, ArXiv.

Third-Person Imitation Learning pdf

Pieter Abbeel, Ilya Sutskever, Bradly C. Stadie, 2017, ICLR.

One-Shot Imitation Learning

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, NIPS.

Some Considerations on Learning to Explore via Meta-Reinforcement Learning pdf

Pieter Abbeel, Xi Chen, Ilya Sutskever, 2018, ICLR 2018.

World Model as a Graph: Learning Latent Landmarks for Planning

Bradly C. Stadie, Lunjun Zhang, Ge Yang, 2021, ICML.

Simulating the stochastic dynamics and cascade failure of power networks

Bradly C. Stadie, M. Anitescu, Jonathan Weare, 2018, 1806.02420.

The Importance of Sampling in Meta-Reinforcement Learning

Bradly C. Stadie, 2018 .

HIRD-P ERSON I MITATION L EARNING

Bradly C. Stadie, P. Abbeel, Ilya Sutskever, 2017 .

WORKS BY JACOBIAN SPECTRUM EVALUATION

Bradly C. Stadie, Matthew Shunshi Zhang, 2019 .

One Demonstration Imitation Learning

Bradly C. Stadie, Siyan Zhao, Qiqi Xu, 2019 .

Understanding Hindsight Goal Relabeling Requires Rethinking Divergence Minimization

Bradly C. Stadie, Lunjun Zhang, 2022, 2209.13046.

World Model as a Graph: Learning Latent Landmarks for Planning

Bradly C. Stadie, Lunjun Zhang, Ge Yang, 2020, ICML.

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning pdf

Jimmy Ba, Bradly C. Stadie, Silviu Pitis, 2020, ICML.

One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation pdf

Bradly C. Stadie, Matthew Shunshi Zhang, Bradly Stadie, 2019, ICLR.

To the Noise and Back: Diffusion for Shared Autonomy

Bradly C. Stadie, Ge Yang, Matthew Walter, 2023, ArXiv.

Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective

Bradly C. Stadie, Lunjun Zhang, 2022, 2209.13046.

Invariance Through Latent Alignment

Bradly C. Stadie, Matthew R. Walter, Matthew Walter, 2021, Robotics: Science and Systems.

Learning Intrinsic Rewards as a Bi-Level Optimization Problem

Jimmy Ba, Bradly C. Stadie, Lunjun Zhang, 2020, UAI.

To the Noise and Back: Diffusion for Shared Autonomy

Bradly C. Stadie, Matthew R. Walter, Ge Yang, 2023, Robotics: Science and Systems.