MarioPPO implementation uses the TensorFlow machine learning platform
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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
Unity project. Main goal is to teach the agent to get a key than find the right chest that contains the treasure.
Reinforcement learning project for training an agent to play Atari Breakout, using algorithms like Multiple Tile Coding, Radial Basis Functions, and REINFORCE. Code, insights, and performance analysis provided.
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.
Snake game reinforcement learning
Advanced statstical learning course project on reinforcement learning
Robot Manipulator Path Planning using Q-Learning – 2D Grid World Case Study
[ ❌ Deprecated] A reinforcement learning environment, in which the agent learns to navigate and drive a car (ackermann steering) to a goal position.
This repository contains implementations of popular Reinforcement Learning algorithms.
Classic RL control algorithm implementations found in Sutton and Barto book.
N-Tuple Networks for the Game 2048 in Python
Training DQN agents on Classical Discrete Action Open AI gym environments
AI reinforcement learning virtual lunar lander project
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