Lucas Lehnert

3 papers · 2018–2023 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Irina Rish (1) Arnav Kumar Jain (1) Michael Littman (1) David Abel (1) Glen Berseth (1) Michael L. Littman (1) Dilip Arumugam (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (2) Core Methods (2) Learning Paradigms (2) Reinforcement Learning (1) Applications (1) Learning Types (1) Methods (1) Optimization & Theory (1)

Keywords

reinforcement learning (1) temporal difference learning (1) state abstraction (1) transfer learning (1) sample complexity (1) pac learning (1) state representation (1) model-based reinforcement learning (1) exploration policy (1) successor feature (1) lifelong reinforcement learning (1) successor representation (1) task transfer (1) pac abstraction (1) state entropy (1) state visitation distribution (1) predecessor representation (1) state entropy exploration (1)

Papers

Maximum State Entropy Exploration using Predecessor and Successor Representations NeurIPS 2023 Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning JMLR 2020 State Abstractions for Lifelong Reinforcement Learning ICML 2018