Om Herur

A Comparative Study of Reinforcement Learning Algorithms Under Task Performance and Energy Constraints with Transfer Learning Analysis

Reinforcement learning (RL) is a method of training artificial intelligence agents to make decisions through trial and error, rewarding good behavior and penalizing bad behavior until the agent learns an effective strategy. This study compares three widely used RL algorithms for continuous robotic control: Proximal Pol...