MarioPPO implementation uses the TensorFlow machine learning platform
-
Updated
Mar 27, 2023 - Python
MarioPPO implementation uses the TensorFlow machine learning platform
Reinforcement Learning with Stable Baselines3: Train and evaluate a CartPole agent using Stable Baselines3 library. Includes code for training, saving, and testing the model, along with a GIF visualization of the trained agent.
In this project I pass through the principles and concepts of Reinforced Learning and I trained an agent to manage the energy resources
This project aims to implement a reinfrcement learning agent using Proximal Policy Optimization (PPO). And given the Unity environment of the "Karting Microgame", it can be used to train a robust agent on multiple tracks which can compete against other implementations.
Advanced statstical learning course project on reinforcement learning
Try out various methods of Reinforcement Learning to automate SnakeGame
Robot Manipulator Path Planning using Q-Learning – 2D Grid World Case Study
Training DQN agents on Classical Discrete Action Open AI gym environments
[ ❌ Deprecated] A reinforcement learning environment, in which the agent learns to navigate and drive a car (ackermann steering) to a goal position.
Classic RL control algorithm implementations found in Sutton and Barto book.
Deep Deterministic Policy Gradient implementation for Reinforcement Learning course taught at Aalto University.
This repository contains implementations of popular Reinforcement Learning algorithms.
AI reinforcement learning virtual lunar lander project
Collection of examples for Reinforcement Learning
Reinforcement Learning
Add a description, image, and links to the reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning topic, visit your repo's landing page and select "manage topics."