Lukas Schäfer

23 papers A* 2A 4Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When does predictive inverse dynamics outperform behavior cloning? CoRR Lukas Schäfer, Pallavi Choudhury, Abdelhak Lemkhenter, Chris Lovett, Somjit Nath, Luis França, Matheus Ribeiro Furtado de Mendonca, Alex Lamb, Riashat Islam, Siddhartha Sen, John Langford, Katja Hofmann, Sergio Valcarcel Macua
2025	A	`conf`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. AAMAS Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2025	J	`jnl`	Using offline data to speed up Reinforcement Learning in procedurally generated environments. Neurocomputing Alain Andres, Lukas Schäfer, Stefano V. Albrecht, Javier Del Ser
2024	J	`jnl`	Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. Trans. Mach. Learn. Res. Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2024	A	`conf`	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. IROS Aleksandar Krnjaic, Raul D. Steleac, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew Wing-Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht
2023	J	`jnl`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2023	J	`jnl`	Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. CoRR Alain Andres, Lukas Schäfer, Esther Villar-Rodriguez, Stefano V. Albrecht, Javier Del Ser
2023	J	`jnl`	Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. CoRR Lukas Schäfer, Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, Sam Devlin
2022	A	`conf`	Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration. AAMAS Lukas Schäfer, Filippos Christianos, Josiah P. Hanna, Stefano V. Albrecht
2022	J	`jnl`	Deep Reinforcement Learning for Multi-Agent Interaction. CoRR 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, Cheng Wang, Stefano V. Albrecht
2022	J	`jnl`	Deep reinforcement learning for multi-agent interaction. AI Commun. 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, Cheng Wang, Stefano V. Albrecht
2022	J	`jnl`	Learning Representations for Control with Hierarchical Forward Models. CoRR Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2022	J	`jnl`	Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning. CoRR Lukas Schäfer, Filippos Christianos, Amos J. Storkey, Stefano V. Albrecht
2022	A*	`conf`	Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning. NeurIPS Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano V. Albrecht, Josiah Hanna
2022	J	`jnl`	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. CoRR Aleksandar Krnjaic, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Peter Börsting, Stefano V. Albrecht
2022	A	`conf`	Task Generalisation in Multi-Agent Reinforcement Learning. AAMAS Lukas Schäfer
2021	—	`conf`	Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks. NeurIPS Datasets and Benchmarks Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
2021	J	`jnl`	Decoupling Exploration and Exploitation in Reinforcement Learning. CoRR Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht
2021	J	`jnl`	Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning. CoRR Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2021	J	`jnl`	Robust On-Policy Data Collection for Data-Efficient Policy Evaluation. CoRR Rujie Zhong, Josiah P. Hanna, Lukas Schäfer, Stefano V. Albrecht
2020	J	`jnl`	Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms. CoRR Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
2020	A*	`conf`	Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. NeurIPS Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
2020	J	`jnl`	Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. CoRR Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht