Schäfer, Lukas

7 publications

TMLR 2024 Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor McInroe, Lukas Schäfer, Stefano V Albrecht

NeurIPSW 2023 Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning Lukas Schäfer, Filippos Christianos, Amos Storkey, Stefano Albrecht

TMLR 2023 Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff

NeurIPSW 2022 Learning Representations for Reinforcement Learning with Hierarchical Forward Models Trevor McInroe, Lukas Schäfer, Stefano V Albrecht

NeurIPS 2022 Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano Albrecht, Josiah Hanna

ICMLW 2021 Decoupling Exploration and Exploitation in Reinforcement Learning Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V Albrecht

NeurIPS 2020 Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning Filippos Christianos, Lukas Schäfer, Stefano Albrecht