Robots are usually unsuitable for altering different tasks and environments. General-purpose models of robots are devised to circumvent this problem. […]
Category: Reinforcement Learning
REDA: A Novel AI Approach to Multi-Agent Reinforcement Learning That Makes Complex Sequence-Dependent Assignment Problems Solvable
Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with […]