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Lukas Schäfer 0001
Person information
- affiliation: University of Edinburgh, School of Informatics, UK
Other persons with the same name
- Lukas Schäfer 0002 — University of Edinburgh, School of Mathematics, UK
- Lukas Schäfer 0003 — TU Darmstadt, Germany
- Lukas Schäfer 0004
— Technical University of Munich, Department of Informatics, Garching, Germany
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2020 – today
- 2024
- [j2]Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht:
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [i12]Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni:
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR abs/2302.03439 (2023) - [i11]Alain Andres, Lukas Schäfer, Esther Villar-Rodriguez, Stefano V. Albrecht, Javier Del Ser:
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. CoRR abs/2304.09825 (2023) - [i10]Lukas Schäfer, Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, Sam Devlin:
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. CoRR abs/2312.02312 (2023) - 2022
- [j1]Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho
Deep reinforcement learning for multi-agent interaction. AI Commun. 35(4): 357-368 (2022) - [c5]Lukas Schäfer, Filippos Christianos, Josiah P. Hanna, Stefano V. Albrecht:
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration. AAMAS 2022: 1146-1154 - [c4]Lukas Schäfer:
Task Generalisation in Multi-Agent Reinforcement Learning. AAMAS 2022: 1863-1865 - [c3]Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano V. Albrecht, Josiah Hanna:
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning. NeurIPS 2022 - [i9]Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht:
Learning Representations for Control with Hierarchical Forward Models. CoRR abs/2206.11396 (2022) - [i8]Lukas Schäfer, Filippos Christianos, Amos J. Storkey, Stefano V. Albrecht:
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning. CoRR abs/2207.02249 (2022) - [i7]Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR abs/2208.01769 (2022) - [i6]Aleksandar Krnjaic, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Peter Börsting, Stefano V. Albrecht:
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. CoRR abs/2212.11498 (2022) - 2021
- [c2]Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht:
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks. NeurIPS Datasets and Benchmarks 2021 - [i5]Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht:
Decoupling Exploration and Exploitation in Reinforcement Learning. CoRR abs/2107.08966 (2021) - [i4]Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht:
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning. CoRR abs/2110.04935 (2021) - [i3]Rujie Zhong, Josiah P. Hanna, Lukas Schäfer, Stefano V. Albrecht:
Robust On-Policy Data Collection for Data-Efficient Policy Evaluation. CoRR abs/2111.14552 (2021) - 2020
- [c1]Filippos Christianos
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. NeurIPS 2020 - [i2]Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht:
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. CoRR abs/2006.07169 (2020) - [i1]Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht:
Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms. CoRR abs/2006.07869 (2020)
Coauthor Index
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