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Bradly C. Stadie
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2020 – today
- 2024
- [i14]Zidan Wang, Rui Shen, Bradly C. Stadie:
Solving Robotics Problems in Zero-Shot with Vision-Language Models. CoRR abs/2407.19094 (2024) - 2023
- [c11]Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie:
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. CoRL 2023: 3277-3291 - [c10]Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter:
To the Noise and Back: Diffusion for Shared Autonomy. Robotics: Science and Systems 2023 - [i13]Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter:
To the Noise and Back: Diffusion for Shared Autonomy. CoRR abs/2302.12244 (2023) - [i12]Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie:
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. CoRR abs/2310.13914 (2023) - 2022
- [c9]Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie:
Invariance Through Latent Alignment. Robotics: Science and Systems 2022 - [i11]Lunjun Zhang, Bradly C. Stadie:
Understanding Hindsight Goal Relabeling Requires Rethinking Divergence Minimization. CoRR abs/2209.13046 (2022) - 2021
- [c8]Lunjun Zhang, Ge Yang, Bradly C. Stadie:
World Model as a Graph: Learning Latent Landmarks for Planning. ICML 2021: 12611-12620 - [i10]Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie:
Invariance Through Inference. CoRR abs/2112.08526 (2021) - 2020
- [c7]Matthew Shunshi Zhang, Bradly C. Stadie:
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. ICLR 2020 - [c6]Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba:
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. ICML 2020: 7750-7761 - [c5]Bradly C. Stadie, Lunjun Zhang, Jimmy Ba:
Learning Intrinsic Rewards as a Bi-Level Optimization Problem. UAI 2020: 111-120 - [i9]Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba:
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. CoRR abs/2007.02832 (2020) - [i8]Lunjun Zhang, Ge Yang, Bradly C. Stadie:
World Model as a Graph: Learning Latent Landmarks for Planning. CoRR abs/2011.12491 (2020)
2010 – 2019
- 2019
- [i7]Matthew Shunshi Zhang, Bradly C. Stadie:
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. CoRR abs/1912.00120 (2019) - 2018
- [b1]Bradly C. Stadie:
Learning as a Sampling Problem. University of California, Berkeley, USA, 2018 - [c4]Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel:
Evolved Policy Gradients. NeurIPS 2018: 5405-5414 - [c3]Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever:
The Importance of Sampling inMeta-Reinforcement Learning. NeurIPS 2018: 9300-9310 - [i6]Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel:
Evolved Policy Gradients. CoRR abs/1802.04821 (2018) - [i5]Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever:
Some Considerations on Learning to Explore via Meta-Reinforcement Learning. CoRR abs/1803.01118 (2018) - [i4]Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel:
Transfer Learning for Estimating Causal Effects using Neural Networks. CoRR abs/1808.07804 (2018) - 2017
- [c2]Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever:
Third Person Imitation Learning. ICLR (Poster) 2017 - [c1]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. NIPS 2017: 1087-1098 - [i3]Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever:
Third-Person Imitation Learning. CoRR abs/1703.01703 (2017) - [i2]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. CoRR abs/1703.07326 (2017) - 2015
- [i1]Bradly C. Stadie, Sergey Levine, Pieter Abbeel:
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models. CoRR abs/1507.00814 (2015)
Coauthor Index
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last updated on 2024-08-25 19:10 CEST by the dblp team
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