IEEE

Creating Multi-level AI Racing Agents Using a Combination of Imitation and Reinforcement Learning and Analyzing Similarity Using Cross-Correlation

Abstract: This study explores creating AI opponents for a basic car racing game using Unreal Engine 5 (UE5). The main goal is to make AI opponents that act like human players, giving gamers a fun ...
IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.