In this project I pass through the principles and concepts of Reinforced Learning and I trained an agent to manage the energy resources
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Updated
Jul 21, 2023 - Jupyter Notebook
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.
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
N-Tuple Networks for the Game 2048 in Python
Robot Manipulator Path Planning using Q-Learning – 2D Grid World Case Study
MarioPPO implementation uses the TensorFlow machine learning platform
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.
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.
Snake game reinforcement learning
[ ❌ 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.
AI reinforcement learning virtual lunar lander project
This repository contains implementations of popular Reinforcement Learning algorithms.
Deep Deterministic Policy Gradient implementation for Reinforcement Learning course taught at Aalto University.
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