Multi-Agent Reinforcement Learning Chapter 5: Reinforcement Learning in Games
AI Olympics (multi-agent reinforcement learning)
Multi-Agent Reinforcement Learning for Language-Based Social Deduction
Apple - Multi-Agent Negotiations via Self-Play and Robust Deep Reinforcement Learning
Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon Based
SESSION 1 | Multi-Agent Reinforcement Learning: Foundations and Modern Approaches | IIIA-CSIC Course
Expert Insights
Data is compiled from public records and verified media reports.
Last Updated: September 29, 2026
Conclusion
For 2026, 5 Deep Multi Agent Rl remains one of the most talked-about information profiles. Check back for the latest updates.
Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.
Summary
A talk covering our group's recent work on MARL for LLMs including: SPADE arxiv.org/abs/2608.19197 Safety Self-Play ... In this video, we demonstrate a Sushrut Bhalla (University of Waterloo), Sriram Ganapathi Subramanian (University of Waterloo) and Mark Crowley (University of ... Kalesha Bullard (DeepMind) ... Live recording of online meeting reviewing material from " AI Competes in a 100m Dash! In this video Author David R. Miller Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada Author Sophie L. We consider the problem of joint channel assignment and power allocation in underlaid cellular vehicular-to-everything (C-V2X) ... This course was given by Stefano V. Albrecht and has been organised by the Artificial Intelligence Research Institute (IIIA -CSIC) ...