Lucas Lehnert

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Topics

Eligibility Traces

Reinforcement Learning

Model Predictive Control

Top Venues

J. Mach. Learn. Res.

Publications

Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. ICRA (2024)
Lucas Lehnert, Sainbayar Sukhbaatar, Paul McVay, Michael Rabbat, Yuandong Tian
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping. CoRR (2024)
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. CoRR (2023)
Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
Maximum State Entropy Exploration using Predecessor and Successor Representations. NeurIPS (2023)
Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
Maximum State Entropy Exploration using Predecessor and Successor Representations. CoRR (2023)
Lucas Lehnert, Michael J. Frank, Michael L. Littman
Reward-Predictive Clustering. CoRR (2022)
Lucas Lehnert, Michael L. Littman
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning. J. Mach. Learn. Res. 21 (2020)
Lucas Lehnert, Michael L. Littman, Michael J. Frank
Reward-predictive representations generalize across tasks in reinforcement learning. PLoS Comput. Biol. 16 (10) (2020)
Lucas Lehnert, Michael L. Littman
Successor Features Support Model-based and Model-free Reinforcement Learning. CoRR (2019)
Lucas Lehnert, Romain Laroche, Harm van Seijen
On Value Function Representation of Long Horizon Problems. AAAI (2018)
Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman
Mitigating Planner Overfitting in Model-Based Reinforcement Learning. CoRR (2018)
Lucas Lehnert, Michael L. Littman
Transfer with Model Features in Reinforcement Learning. CoRR (2018)
David Abel, Dilip Arumugam, Lucas Lehnert, Michael L. Littman
State Abstractions for Lifelong Reinforcement Learning. ICML (2018)
Lucas Lehnert, Stefanie Tellex, Michael L. Littman
Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning. CoRR (2017)
Lucas Lehnert, Doina Precup
Policy Gradient Methods for Off-policy Control. CoRR (2015)
Arthur Mensch, Emmanuel Piuze, Lucas Lehnert, Adrianus J. Bakermans, Jon Sporring, Gustav J. Strijkers, Kaleem Siddiqi
Connection Forms for Beating the Heart - LV Mechanics Challenge (Methods). STACOM (2014)