A Hybrid Reinforcement Learning Framework for Autonomous Robotic Navigation in Dynamic Environments
Autonomous agents—systems that make independent decisions without human input—are foundational to modern robotics and enable intelligent responses in dynamic situations. In this work, a hybrid agent-based system that integrates software agents, or programs that represent users with multiple decision-making modules. The...