Bradly C. Stadie

37 papers A* 6A 1Misc 1Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection in LLM Backtesting. CoRR Zeyu Zhang, Ryan Chen, Bradly C. Stadie
2026	J	`jnl`	Evolutionary System Prompt Learning for Reinforcement Learning in LLMs. CoRR Lunjun Zhang, Ryan Chen, Bradly C. Stadie
2025	J	`jnl`	AIA Forecaster: Technical Report. CoRR Rohan Alur, Bradly C. Stadie, Daniel Kang, Ryan Chen, Matt McManus, Michael Rickert, Tyler Lee, Michael Federici, Richard Zhu, Dennis Fogerty, Hayley Williamson, Nina Lozinski, Aaron Linsky, Jasjeet S. Sekhon
2025	J	`jnl`	D2 Actor Critic: Diffusion Actor Meets Distributional Critic. CoRR Lunjun Zhang, Shuo Han, Hanrui Lyu, Bradly C. Stadie
2025	J	`jnl`	D2 Actor Critic: Diffusion Actor Meets Distributional Critic. Trans. Mach. Learn. Res. Lunjun Zhang, Shuo Han, Hanrui Lyu, Bradly C. Stadie
2025	J	`jnl`	Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology. npj Digit. Medicine Mauro Giuffrè, Kisung You, Ziteng Pang, Simone Kresevic, Sunny Chung, Ryan Chen, Youngmin Ko, Colleen E. Chan, Theo Saarinen, Milos Ajcevic, Lory S. Crocè, Guadalupe Garcia-Tsao, Ian Gralnek, Joseph J. Y. Sung, Alan Barkun, Loren Laine, Jasjeet S. Sekhon, Bradly C. Stadie, Dennis L. Shung
2025	J	`jnl`	LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models. CoRR Ryan Chen, Youngmin Ko, Zeyu Zhang, Catherine Cho, Sunny Chung, Mauro Giuffrè, Dennis L. Shung, Bradly C. Stadie
2025	A*	`conf`	Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents. ICML Shuo Han, German Espinosa, Junda Huang, Daniel A. Dombeck, Malcolm A. MacIver, Bradly C. Stadie
2025	J	`jnl`	Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents. CoRR Shuo Han, German Espinosa, Junda Huang, Daniel A. Dombeck, Malcolm A. MacIver, Bradly C. Stadie
2025	J	`jnl`	Thoughts and Lessons on Using Visual Foundation Models for Manipulation. Trans. Mach. Learn. Res. Ryan Chen, Ziteng Pang, Bradly C. Stadie
2025	J	`jnl`	Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs. Trans. Mach. Learn. Res. Zidan Wang, Rui Shen, Bradly C. Stadie
2024	J	`jnl`	Solving Robotics Problems in Zero-Shot with Vision-Language Models. CoRR Zidan Wang, Rui Shen, Bradly C. Stadie
2023	Misc	`conf`	Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. CoRL Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie
2023	J	`jnl`	Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. CoRR Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie
2023	—	`conf`	To the Noise and Back: Diffusion for Shared Autonomy. Robotics: Science and Systems Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter
2023	J	`jnl`	To the Noise and Back: Diffusion for Shared Autonomy. CoRR Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter
2022	—	`conf`	Invariance Through Latent Alignment. Robotics: Science and Systems Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie
2022	J	`jnl`	Understanding Hindsight Goal Relabeling Requires Rethinking Divergence Minimization. CoRR Lunjun Zhang, Bradly C. Stadie
2021	J	`jnl`	Invariance Through Inference. CoRR Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie
2021	A*	`conf`	World Model as a Graph: Learning Latent Landmarks for Planning. ICML Lunjun Zhang, Ge Yang, Bradly C. Stadie
2020	A	`conf`	Learning Intrinsic Rewards as a Bi-Level Optimization Problem. UAI Bradly C. Stadie, Lunjun Zhang, Jimmy Ba
2020	A*	`conf`	Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. ICML Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
2020	J	`jnl`	Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. CoRR Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
2020	A*	`conf`	One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. ICLR Matthew Shunshi Zhang, Bradly C. Stadie
2020	J	`jnl`	World Model as a Graph: Learning Latent Landmarks for Planning. CoRR Lunjun Zhang, Ge Yang, Bradly C. Stadie
2019	J	`jnl`	One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. CoRR Matthew Shunshi Zhang, Bradly C. Stadie
2018	A*	`conf`	Evolved Policy Gradients. NeurIPS Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel
2018	J	`jnl`	Evolved Policy Gradients. CoRR Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel
2018	—	`—`	Learning as a Sampling Problem. Bradly C. Stadie
2018	J	`jnl`	Some Considerations on Learning to Explore via Meta-Reinforcement Learning. CoRR Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
2018	A*	`conf`	The Importance of Sampling inMeta-Reinforcement Learning. NeurIPS Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
2018	J	`jnl`	Transfer Learning for Estimating Causal Effects using Neural Networks. CoRR Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel
2017	—	`conf`	One-Shot Imitation Learning. NIPS Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
2017	J	`jnl`	One-Shot Imitation Learning. CoRR Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
2017	—	`conf`	Third Person Imitation Learning. ICLR (Poster) Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever
2017	J	`jnl`	Third-Person Imitation Learning. CoRR Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever
2015	J	`jnl`	Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models. CoRR Bradly C. Stadie, Sergey Levine, Pieter Abbeel