Stefano Albrecht on Multi-Agent RL @ RLDM 2025

TalkRL: The Reinforcement Learning Podcast

محتوای ارائه شده توسط Robin Ranjit Singh Chauhan. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Robin Ranjit Singh Chauhan یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

3M ago 31:34

MP3•خانه قسمت

Stefano V. Albrecht was previously Associate Professor at the University of Edinburgh, and is currently serving as Director of AI at startup Deepflow. He is a Program Chair of RLDM 2025 and is co-author of the MIT Press textbook "Multi-Agent Reinforcement Learning: Foundations and Modern Approaches".

Featured References

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer

MIT Press, 2024

RLDM 2025: Reinforcement Learning and Decision Making Conference

Dublin, Ireland

EPyMARL: Extended Python MARL framework

https://github.com/uoe-agents/epymarl

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Georgios Papoudakis and Filippos Christianos and Lukas Schäfer and Stefano V. Albrecht

73 قسمت

#Reinforcement Learning #Machine Learning #Robin Ranjit Singh Chauhan #Artificial Intelligence #Tech