This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.

Fuzzy Rule Interpolation-based Reinforcement Learning

Q-Learning algorithm for OpenAI Mountain Car gym.

Deep Active Inference of Mountain Car Problem

Optimization of the Mountain Car problem for CDMO class at @unibo

Artificial Intelligence State-of-the-art algorithms

Fuzzy Rule Interpolation-based Reinforcement Learning (C + AVX port)

using Q-learning in 2 environment

Reinforcement Learning for the Mountain Car Problem using Coarse Coding, delivered as the third and final project of IT3105 - Artificial Intelligence Programming at NTNU.

Fun project that allows you to control a Mountain Car based on hand recognition using your own Web Cam. End-to-end project using Tensorflow Keras as recognition model.

Mountain Car v0 using Q-Learning

...and generating ugly state-action maps for MountainCar-v0