Mikyx-1/Reinforcement-Learning

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A toolkit for developing and comparing reinforcement learning algorithms.

Implementation of all RL algorithms in a simpler way

R.L. methods and techniques.

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.

Repo for the Deep Reinforcement Learning Nanodegree program

Puffing up reinforcement learning

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.