Lukas Schäfer
Affiliations:- University of Edinburgh, School of Informatics, UK
According to our database1,
Lukas Schäfer
authored at least 19 papers
between 2020 and 2025.
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Bibliography
2025
Using offline data to speed up Reinforcement Learning in procedurally generated environments.
Neurocomputing, 2025
2024
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning.
Trans. Mach. Learn. Res., 2024
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
2023
CoRR, 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments.
CoRR, 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning.
CoRR, 2023
2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers.
CoRR, 2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning.
CoRR, 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning.
CoRR, 2021
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020