Lucas Lehnert

Assistant Professor, University of Saskatchewan

Joined

July 2019

Names

Lucas Lehnert (Preferred)

Emails

****@mail.mcgill.ca (Confirmed)

****@mila.quebec (Confirmed)

****@outlook.com (Confirmed)

****@meta.com (Confirmed)

****@usask.ca (Confirmed)

Personal Links

Homepage

DBLP

ORCID

Career & Education History

Assistant Professor

University of Saskatchewan (usask.ca)

2024 – Present

Postdoc

Meta FAIR (fb.com)

2022 – 2024

Postdoc

Université de Montréal (umontreal.ca)

2021 – 2022

PhD student

Brown University (brown.edu)

2016 – 2021

Advisors, Relations & Conflicts

Postdoc Advisor

Irina Rish

2021 – 2022

PhD Advisor

Michael J. Frank

2018 – 2021

PhD Advisor

Michael L. Littman

2016 – 2021

Expertise

Reinforcement Learning

Present

Publications

Reward-predictive representations generalize across tasks in reinforcement learning
Lucas Lehnert, Michael Littman, Michael Frank
- OpenReview Archive Direct Upload
- Readers: Everyone
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning
Lucas Lehnert, Michael Littman
- https://jmlr.csail.mit.edu/papers/v21/19-060.html
- Readers: Everyone
Scalable Approaches for a Theory of Many Minds
Maximilian Puelma Touzel, Amin Memarian, Matthew Riemer, Andrei Mircea, Andrew Robert Williams, Elin Ahlstrand, Lucas Lehnert, Rupali Bhati, Guillaume Dumas, Irina Rish
- Agentic Markets @ ICML'24 Poster
- Readers: Everyone
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Lucas Lehnert, Sainbayar Sukhbaatar, DiJia Su, Qinqing Zheng, Paul McVay, Michael Rabbat, Yuandong Tian
- COLM
- Readers: Everyone
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Lucas Lehnert, Sainbayar Sukhbaatar, Paul McVay, Michael Rabbat, Yuandong Tian
- LLMAgents @ ICLR 2024 Poster
- Readers: Everyone
Maximum State Entropy Exploration using Predecessor and Successor Representations
Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
- Frontiers4LCD
- Readers: Everyone
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Yingchen Xu, Rohan Chitnis, Bobak T Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau
- Frontiers4LCD
- Readers: Everyone
Maximum State Entropy Exploration using Predecessor and Successor Representations
Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
- NeurIPS 2023 poster
- Readers: Everyone
On Value Function Representation of Long Horizon Problems
Lucas Lehnert, Romain Laroche, Harm van Seijen
- 2018 (modified: 02 Mar 2020)
- AAAI 2018
- Readers: Everyone
State Abstractions for Lifelong Reinforcement Learning
David Abel, Dilip Arumugam, Lucas Lehnert, Michael L. Littman
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone

Co-Authors

View all 29 co-authors