Agent Modelling under Partial Observability for Deep Reinforcement Learning

von Papoudakis, Georgios
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

SHARED EXPERIENCE ACTOR-CRITIC FOR MULTI-AGENT REINFORCEMENT LEARNING

von Christianos, Filippos
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

SCALING MULTI-AGENT REINFORCEMENT LEARNING WITH SELECTIVE PARAMETER SHARING

von CHRISTIANOS, FILIPPOS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 3 of 16 (2022)

Decoupled Reinforcement Learning to Stabilise Intrinsicaliy-Motivated Exploration

von Schäfer, Lukas
Veröffentlicht in International Conference on Autonomous Agents and Multiagent Systems (21. : 2022 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; Volume 2 of 3 (2022)

TOWARDS OPEN AD HOC TEAMWORK USING GRAPH-BASED POLICY LEARNING

von RAHMAN, MUHAMMAD A.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)