Lehnert, Lucas

8 publications

ICLRW 2024 Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping Lucas Lehnert, Sainbayar Sukhbaatar, Paul McVay, Michael Rabbat, Yuandong Tian

ICMLW 2024 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

ICMLW 2023 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

NeurIPS 2023 Maximum State Entropy Exploration Using Predecessor and Successor Representations Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth

ICMLW 2023 Maximum State Entropy Exploration Using Predecessor and Successor Representations Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth

JMLR 2020 Successor Features Combine Elements of Model-Free and Model-Based Reinforcement Learning Lucas Lehnert, Michael L. Littman

AAAI 2018 On Value Function Representation of Long Horizon Problems Lucas Lehnert, Romain Laroche, Harm van Seijen

ICML 2018 State Abstractions for Lifelong Reinforcement Learning David Abel, Dilip Arumugam, Lucas Lehnert, Michael Littman