The implementation of some reinforcement learning techniques like (Q-learning, SARSA, DQN) in two assignments and one big project.
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Updated
Nov 12, 2022 - Jupyter Notebook
The implementation of some reinforcement learning techniques like (Q-learning, SARSA, DQN) in two assignments and one big project.
Decision Making Under Uncertainty (DMU) final project.
Repository for the final project of the "Computational Intelligence" course @ PoliTo, 2022/2023
Unity project. Main goal is to teach the agent to get a key than find the right chest that contains the treasure.
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 utilize reinforcement learning (RL) techniques to train an artificial intelligence agent capable of playing the iconic Super Mario game.
Using a Deep Q Network(DQN) to play Atari Breakout
Robot Manipulator Path Planning using Q-Learning – 2D Grid World Case Study
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.
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.
Advanced statstical learning course project on reinforcement learning
Snake game reinforcement learning
N-Tuple Networks for the Game 2048 in Python
Self Training Sneak Game with Reinforcement Learning
Deep Reinforcement Learning based Rubik’s Cube solver written in JAX, Haiku and RLax. Developed a custom environment supporting cubes of variable size. Currently developing support for DQN, QR-DQN and PPO.
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.
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