Stephanie C. Y. Chan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Eligibility Traces

Top Venues

Publications

Andrew Kyle Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta, Andrew J. Nam, Jane X. Wang
Passive learning of active causal strategies in agents and language models. CoRR (2023)
Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
The Transient Nature of Emergent In-Context Learning in Transformers. NeurIPS (2023)
Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
The Transient Nature of Emergent In-Context Learning in Transformers. CoRR (2023)
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane X. Wang, Andrea Banino, Felix Hill
Semantic Exploration from Language Abstractions and Pretrained Representations. CoRR (2022)
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill
Semantic Exploration from Language Abstractions and Pretrained Representations. NeurIPS (2022)
Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya Singh, Pierre H. Richemond, Jay McClelland, Felix Hill
Data Distributional Properties Drive Emergent In-Context Learning in Transformers. CoRR (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory Matthewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill
Can language models learn from explanations in context? CoRR (2022)
Stephanie C. Y. Chan, Andrew K. Lampinen, Pierre H. Richemond, Felix Hill
Zipfian environments for Reinforcement Learning. CoRR (2022)
Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim, Dharshan Kumaran, Andrew K. Lampinen, Felix Hill
Transformers generalize differently from information stored in context vs in weights. CoRR (2022)
Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill
Language models show human-like content effects on reasoning. CoRR (2022)
Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill
Zipfian Environments for Reinforcement Learning. CoLLAs (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Mh Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill
Can language models learn from explanations in context? EMNLP (Findings) (2022)
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
Tell me why! - Explanations support learning of relational and causal structure. CoRR (2021)
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
Towards mental time travel: a hierarchical memory for reinforcement learning agents. CoRR (2021)
Andrew K. Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
Towards mental time travel: a hierarchical memory for reinforcement learning agents. NeurIPS (2021)
Stephanie C. Y. Chan, Samuel Fishman, Anoop Korattikara, John F. Canny, Sergio Guadarrama
Measuring the Reliability of Reinforcement Learning Algorithms. ICLR (2020)
Stephanie C. Y. Chan, Sam Fishman, John F. Canny, Anoop Korattikara, Sergio Guadarrama
Measuring the Reliability of Reinforcement Learning Algorithms. CoRR (2019)