# Continuous Action Control

This is a reinforcement learning model based on the SAC algorithm, designed to control robot hopping movements in the Hopper-v3 environment.

A TD3 reinforcement learning agent trained based on the stable-baselines3 library, specifically designed for the MountainCarContinuous-v0 environment.

This is a TD3 reinforcement learning agent trained using the stable-baselines3 library, specifically designed for the HalfCheetah-v3 environment, achieving an average reward of 9709.01.

This is a reinforcement learning agent based on the PPO algorithm, specifically trained for the MountainCarContinuous-v0 environment, capable of effectively solving the continuous control problem of the mountain car.