A Python program to play the first level of Donkey Kong Country (SNES, 1996), Jungle Hijinks, using the genetic algorithm NEAT (NeuroEvolution of Augmenting Topologies) and Gymnasium, a maintained fork of OpenAI's Gym.

FinRL: Financial Reinforcement Learning. 🔥

In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.

Flexible DQN framework for web game automation

Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.

Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning

A space themed pygame with openAI Gym env & Reinforcement Learining Agent

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

Simple Gridworld Gymnasium Environment

Various OpenAI projects and experiments implemented in Python. Utilizes all OpenAI APIs.

C++ wrappers of OpenAI-Gym environments

RL Agent Implementation for openai gym environments

Python library for Reinforcement Learning.

Reinforcement Learning project using the famous Cart-Pole environment from Gym (OpenAI), Tensorflow, Keras, and Keras-RL

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

The project focuses on motion planning for a wide range of robotic structures using deep reinforcement learning (DRL) algorithms to solve the problem of reaching a static or random target within a pre-defined configuration space.

Non-cooperative satellite operations challenge problems implemented in the Kerbal Space Program game engine

For trading. Please star.

This repository implements the use of AI for robot tasks.

This project provides a comprehensive understanding of reinforcement learning, focusing on Deep Q-Learning (DQN). It involves exploring the OpenAI Gym library, implementing DQN from DeepMind's seminal paper, and enhancing the DQN algorithm for improved performance and stability.