70 citations · 86 across the 7 of their papers we have counts for
Showing 2026Show 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.MA2026
Reimagining Peer Review Process Through Multi-Agent Mechanism Design
Ahmad Farooq, Kamran Iqbal
The software engineering research community faces a systemic crisis: peer review is failing under growing submissions, misaligned incentives, and reviewer fatigue. Community survey…