reinforcement-learning-algorithms

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

Repo for the Deep Reinforcement Learning Nanodegree program

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

A curated list of awesome model based RL resources (continually updated)

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)

Really Fast End-to-End Jax RL Implementations

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

A curated list of Decision Transformer resources (continually updated)

NMA deep learning course

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

A curated list of awesome exploration RL resources (continually updated)

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

A curated list of Monte Carlo tree search papers with implementations.