Jane X Wang

Research Scientist, DeepMind

Joined

September 2018

Names

Jane X Wang (Preferred)

Jane Wang

Emails

****@google.com (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

DeepMind (google.com)

2015 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

reinforcement learning

deep learning

meta-learning

2015 – Present

complex systems

2007 – Present

cognitive neuroscience

computational neuroscience

2005 – Present

Publications

Exploring exploration with foundation agents in interactive environments
Daniel P. Sawyer, Nan Rosemary Ke, Hubert Soyer, Martin Engelcke, John Reid, David P Reichert, Drew A. Hudson, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P Lillicrap, Michael Curtis Mozer, Jane X Wang
- NeurIPS 2025 Workshop EWM
- Readers: Everyone
Exploring exploration with foundation agents in interactive environments
Daniel P. Sawyer, Nan Rosemary Ke, Hubert Soyer, Martin Engelcke, John Reid, David P Reichert, Drew A. Hudson, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P Lillicrap, Michael Curtis Mozer, Jane X Wang
- MTI-LLM @ NeurIPS 2025 Poster
- Readers: Everyone
Exploring exploration with foundation agents in interactive environments
Daniel P. Sawyer, Nan Rosemary Ke, Hubert Soyer, Martin Engelcke, John Reid, David P Reichert, Drew A. Hudson, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P Lillicrap, Michael Curtis Mozer, Jane X Wang
- Accepted by TMLR
- Readers: Everyone
Can foundation models actively gather information in interactive environments to test hypotheses?
Nan Rosemary Ke, Daniel P. Sawyer, Hubert Soyer, Martin Engelcke, David P Reichert, Drew A. Hudson, John Reid, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P Lillicrap, Michael Curtis Mozer, Jane X Wang
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
CogBench: a large language model walks into a psychology lab
Julian Coda-Forno, Marcel Binz, Jane X Wang, Eric Schulz
- ICML 2024 Poster
- Readers: Everyone
Meta-in-context learning in large language models
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew Botvinick, Jane X Wang, Eric Schulz
- NeurIPS 2023 poster
- Readers: Everyone
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen, Stephanie C.Y. Chan, Ishita Dasgupta, Andrew Joohun Nam, Jane X Wang
- NeurIPS 2023 poster
- Readers: Everyone
Can language models learn from explanations in context?
Andrew Kyle Lampinen, Ishita Dasgupta, Stephanie C.Y. Chan, Kory Wallace Mathewson, Michael Henry Tessler, Antonia Creswell, James McClelland, Jane X Wang, Felix Hill
- 27 Dec 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Learning to Induce Causal Structure
Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende
- Published: 01 Feb 2023, Last Modified: 10 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Learning to induce causal structure
Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Matthew Botvinick, Theophane Weber, Michael Curtis Mozer, Danilo Jimenez Rezende
- Published: 21 Jul 2022, Last Modified: 05 May 2023
- SCIS 2022 Poster
- Readers: Everyone

View all 35 publications

Co-Authors

View all 132 co-authors