Showing cs.ROShow all
3 papers · 1 filter
cs.RO2026
Formal Verification of Learned Multi-Agent Communication Policies via Decision Tree Distillation
Ahmad Farooq, Kamran Iqbal
Multi-agent reinforcement learning (MARL) enables agents to develop coordination strategies through emergent communication, but neural policies lack the formal safety guarantees re…
cs.RO2026
Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization
Ahmad Farooq, Kamran Iqbal
Multi-agent reinforcement learning systems deployed in real-world robotics applications face severe communication constraints that significantly impact coordination effectiveness.…
cs.RO2025
Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction
Ahmad Farooq, Kamran Iqbal
This paper presents a novel approach that integrates vision foundation models with reinforcement learning to enhance object interaction capabilities in simulated environments. By c…