Stefano Albrecht on Multi-Agent RL @ RLDM 2025

About this episode

Stefano V. Albrecht discusses his work and insights on Multi-Agent Reinforcement Learning at RLDM 2025.

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

People in this episode

Guest: Stefano V. Albrecht

Topics covered

• Multi-Agent Reinforcement Learning
• AI
• Reinforcement Learning
• Decision Making

Keywords

• AI
• Deepflow
• University of Edinburgh
• RLDM 2025
• MIT Press

Mentioned in this episode

Products: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, EPyMARL

Books & works: " Multi-Agent Reinforcement Learning: Foundations and Modern Approaches "

Places: Dublin, Ireland

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