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Multi Agent Systems Explained: How AI Agents & LLMs Work Together
Distributed Multi-agent Navigation Based on ORCA and MAPF solving
Learning Adaptive Safety in Multi-Agent Systems
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Navigation
C-TTC: Coordinating Multi-Agent Navigation by Learning Communication
Bud AI — Multi-Agent Educational & Adaptive Learning Platform
Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning
Aprima Adaptive Learning and Intelligent Navigation
L12.4 Adam: Combining Adaptive Learning Rates and Momentum
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Last Updated: October 19, 2026
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Summary
Imagine a classroom that learns with you – adapting to your pace, style, and even your mood. That's the power of A talk covering our group's recent work on MARL for LLMs including: SPADE arxiv.org/abs/2608.19197 Safety Self-Play ... MIT - Oct. 10, 2025 Speaker: Negar Mehr Seminar title: Interactive Autonomy: Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ... Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism. A video that describes our ICRA 2021 paper titled "MIDAS: This work presents a decentralized Bud AI is an intelligent student Aprima EHR gives you the freedom to focus more on patient care and focus less on data entry. The Sebastian's books: sebastianraschka.com/books/ Slides: ... Video music copyright: Music: Sunset Static by Joshua Moses joshuamosesmusic.bandcamp.com License: Creative ...
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