IEEE

Safe Multi-Agent Reinforcement Learning for Wireless Applications Against Adversarial Communications

Abstract: Based on the network observations and learning parameters shared by the neighboring learning agents, multi-agent reinforcement learning (RL) has to enhance the performance over adversarial ...
IEEE

Proof-of-Concept of a Reinforcement-Learning Based RT Shimming Technique for HTS Magnets

Abstract: We report a newly developed room-temperature (RT) shimming method for high-temperature superconducting (HTS) magnets employing a deep Q-network (DQN), a type of reinforcement learning theory ...