Abstract: In recent years, reinforcement learning (RL) has made great achievements in artificial intelligence. Proximal policy optimization (PPO) is a representative RL algorithm, which limits the ...
Reinforcement Learning-Based Adaptive Path Tracking Fusion Control Strategy for Intelligent Vehicles
Abstract: Path tracking control is a crucial technology for intelligent vehicles (IVs) to achieve accurate tracking. However, a single controller struggles to track precisely in complex environments ...
A comprehensive reinforcement learning educational project covering 16 algorithms from Q-Learning to DAPO, with detailed formulas and code implementations. - xhffffff/RL-Learning-Journey ...
This repository contains implementations and comparisons of Proximal Policy Optimization (PPO) and Group Relative Policy Optimization (GRPO) algorithms on standard reinforcement learning environments: ...
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