Novel approach to quantum error correction portends a scalable future for quantum computing

A University of Sydney quantum physicist has developed a new approach to quantum error correction that could significantly ...
IEEE

Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions

Abstract: Achieving distributed reinforcement learning (RL) for large-scale cooperative multiagent systems (MASs) is challenging because: 1) each agent has access to only limited information and 2) ...