Bradly C. Stadie

According to our database, Bradly C. Stadie authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Solving Robotics Problems in Zero-Shot with Vision-Language Models.

Zidan Wang, Rui Shen, Bradly C. Stadie

CoRR, 2024

2023

To the Noise and Back: Diffusion for Shared Autonomy.

Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States.

Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie

Proceedings of the Conference on Robot Learning, 2023

2022

Understanding Hindsight Goal Relabeling Requires Rethinking Divergence Minimization.

Lunjun Zhang, Bradly C. Stadie

CoRR, 2022

Invariance Through Latent Alignment.

Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Invariance Through Inference.

Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie

CoRR, 2021

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

Lunjun Zhang, Ge Yang, Bradly C. Stadie

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning Intrinsic Rewards as a Bi-Level Optimization Problem.

Bradly C. Stadie, Lunjun Zhang, Jimmy Ba

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

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

Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Matthew Shunshi Zhang, Bradly C. Stadie

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Learning as a Sampling Problem.

Bradly C. Stadie

PhD thesis, 2018

Transfer Learning for Estimating Causal Effects using Neural Networks.

Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel

CoRR, 2018

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

Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever

CoRR, 2018

Evolved Policy Gradients.

Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel

CoRR, 2018

The Importance of Sampling inMeta-Reinforcement Learning.

Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Evolved Policy Gradients.

Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

One-Shot Imitation Learning.

Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Third Person Imitation Learning.

Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever

Proceedings of the 5th International Conference on Learning Representations, 2017

2015

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models.

Bradly C. Stadie, Sergey Levine, Pieter Abbeel

CoRR, 2015