Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
-
Updated
Jun 6, 2024 - Python
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.
FinRL: Financial Reinforcement Learning. 🔥
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.
Flexible DQN framework for web game automation
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.
Add a description, image, and links to the openai-gym topic page so that developers can more easily learn about it.
To associate your repository with the openai-gym topic, visit your repo's landing page and select "manage topics."