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.
Decision Making Under Uncertainty (DMU) final project.
In this project I pass through the principles and concepts of Reinforced Learning and I trained an agent to manage the energy resources
The implementation of some reinforcement learning techniques like (Q-learning, SARSA, DQN) in two assignments and one big project.
Unity project. Main goal is to teach the agent to get a key than find the right chest that contains the treasure.
This code repository contains the implementation of Q-Learning agent for Mountain Car game. It is part of the lab exercise for the COSC-604 Artificial Intelligence course for masters students at Khalifa University.
Using a Deep Q Network(DQN) to play Atari Breakout
Repository for the final project of the "Computational Intelligence" course @ PoliTo, 2022/2023
Training DQN agents on Classical Discrete Action Open AI gym environments
A multi armed bandit Reinforcement learning problem using Policy Gradient.
A simple implementation of the Proximal Policy Optimization (PPO) algorithm using Pytorch.
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
Snake game reinforcement learning
Reinforcement Learning using OpenAI Gym MountainCar Environment
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