Showing 1-14 of 14 projects
Simple reinforcement learning tutorials in Python using TensorFlow for AI/ML developers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
A collection of implementations from a free course on deep reinforcement learning using TensorFlow and PyTorch.
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
A minimalist and clean set of reinforcement learning examples in Python for developers to learn and experiment with.
A multi-agent particle environment used in research on cooperative-competitive AI agents.
This repository contains code for the MADDPG algorithm, a multi-agent actor-critic method for cooperative-competitive environments.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
PyTorch implementation of state-of-the-art reinforcement learning algorithms for vibe coders.
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
A Python library for Soft Actor-Critic (SAC), a powerful reinforcement learning algorithm.
ChainerRL is a deep reinforcement learning library built on top of Chainer, a popular deep learning framework.
An A3C algorithm implementation for training an AI agent to play Super Mario Bros
High quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Get weekly updates on trending AI coding tools and projects.