Ppo Pendulum V1
This is a reinforcement learning model based on the PPO algorithm, specifically designed to solve control problems in the Pendulum-v1 environment.
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Release Time : 5/4/2022
Model Overview
The model is trained using the PPO algorithm from the Stable Baselines3 library, suitable for the Pendulum-v1 environment, and capable of learning how to control the inverted pendulum to maintain an upright position.
Model Features
Using SDE Technology
Utilizes State-Dependent Exploration (SDE) technology to improve exploration efficiency.
Stable Training
Based on the PPO algorithm, ensuring training stability.
Efficient Learning
Achieves efficient learning through reasonable hyperparameter settings.
Model Capabilities
Inverted Pendulum Control
Continuous Action Space Handling
Reinforcement Learning Task Solving
Use Cases
Control Problems
Inverted Pendulum Balance Control
Control the inverted pendulum to maintain an upright position.
Average reward reaches -230.42 ±142.54
Teaching Demonstrations
Reinforcement Learning Teaching Example
Serves as a teaching demonstration case for reinforcement learning algorithms.
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