2 papers
cs.MA2026
MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
Haohan Yu, Jinmiao Cong, Shengzhi Wang +2
A key challenge in multi-agent reinforcement learning (MARL) lies in designing learning signals that effectively promote coordination among agents. Designing such signals requires…
physics.app-ph2022
Extensive Study of Multiple Deep Neural Networks for Complex Random Telegraph Signals
Marcel Robitaille, HeeBong Yang, Lu Wang +1
Time-fluctuating signals are ubiquitous and diverse in many physical, chemical, and biological systems, among which random telegraph signals (RTSs) refer to a series of instantaneo…