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Multi Agent Systems Explained: How AI Agents & LLMs Work Together
Mobile Robotic Arm using Multi-Agent Reinforcement Learning
Multi-agent Reinforcement Learning (MARL) for LLMs
Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety(RSS2025)
Multi-Agent Formation Control using Reinforcement Learning
HUMAC: Enabling Multi-Robot Collaboration from Single-Human Guidance
Prof. Natasha Jaques: Multi-agent Reinforcement Learning (MARL) for LLMs
Autonomy Talks - Guillaume Sartoretti: Distributed Collaboration in Robotic Multi-Agent Systems
Sim2Real Transfer of Multi-Agent Reinforcement Learning Policies using Digital Twins
Knowledge-Guided Multi-Agent Reinforcement Learning for Multi-AAV Cooperative Pursuit
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Last Updated: October 18, 2026
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Ready to become a certified watsonx AI Assistant Engineer? Register now and The goal was to move the piece from one table to the other. The scenario was implemented in Unity with ML- A talk covering our group's recent work on MARL for LLMs including: SPADE arxiv.org/abs/2608.19197 The video shows a formation control of 3 quadrotors with Jackal UGV in the center. The quadrotors' dynamics are unknown. Project website (paper, code, video): generalroboticslab.com/HUMAC Abstract: Autonomy Talks - 27/09/2021 Speaker: Prof. Guillaume Sartoretti, National University of Singapore Title: Distributed This video highlights the "true" digital twinning capabilities of AutoDRIVE Ecosystem, which can be leveraged to sustainably ...
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