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Lucas Lehnert — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Lucas Lehnert
7
papers ·
68
citations ·
6
h-index
University of Saskatchewan
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning
2017 · 40 citations
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning
2019 · 21 citations
Transfer with Model Features in Reinforcement Learning
2018 · 4 citations
Mitigating Planner Overfitting in Model-Based Reinforcement Learning
2018 · 2 citations
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
2023 · 1 citations
Smaller Abstract State Spaces Enable Cross-Scale Generalization in Reinforcement Learning
2026
Reward-Predictive Clustering
2022
Top co-authors
Michael L. Littman
· 4
and Michael L. Littman
· 1
Bobak Hashemi
· 1
Christopher Grimm
· 1
David Abel
· 1
Dilip Arumugam
· 1
Jun Ki Lee
· 1
Kavosh Asadi
· 1
Michael J. Frank
· 1
Nakul Gopalan
· 1
Nasehatul Mustakim
· 1
Olivier Delalleau
· 1
Topics
Model-Based RL
Meta-RL
Value-Based
Safe RL
Offline RL