Research

Bypassing the CSI Bottleneck: MARL-Driven Spatial Control for Reflector Arrays

Multi-agent reinforcement learning eliminates the channel state information bottleneck in wireless reflector array control, enabling practical spatial communications without costly feedback overhead.

Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline

ArXiv paper proposing multi-agent reinforcement learning for reflector array spatial control, bypassing channel state information bottlenecks in wireless systems.

Read original at arXiv CS.AI

FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing

FASE, a fairness-aware event graph framework, aims to reduce algorithmic bias in ML-based predictive policing by combining event analysis with fairness constraints.