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

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• Updated Oct 26, 2026
• Python

Repo for the Deep Reinforcement Learning Nanodegree program

reinforcement-learning deep-reinforcement-learning openai-gym pytorch dqn neural-networks reinforcement-learning-algorithms dynamic-programming hill-climbing ddpg cross-entropy openai-gym-solutions pytorch-rl ppo ml-agents rl-algorithms

• Updated Jul 8, 2026
• Jupyter Notebook

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

python data-science machine-learning reinforcement-learning toolbox openai gym reinforcement-learning-algorithms baselines

• Updated Sep 4, 2022
• Python

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

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• Updated Dec 7, 2025
• Python

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

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• Updated Jul 9, 2024
• Python

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

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• Updated Oct 27, 2026

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.

machine-learning reinforcement-learning pytorch reinforcement-learning-algorithms ppo

• Updated Oct 1, 2024
• Python

[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)

reinforcement-learning reinforcement-learning-algorithms rl reinforcement-learning-agent agentic-rl

• Updated Oct 11, 2026
• Python

Really Fast End-to-End Jax RL Implementations

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• Updated Sep 9, 2024
• Python

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

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• Updated Mar 24, 2023
• Python

A curated list of Decision Transformer resources (continually updated)

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• Updated May 21, 2026

NMA deep learning course

deep-learning transformers recurrent-neural-networks reinforcement-learning-algorithms convolutional-neural-networks continual-learning

• Updated Nov 11, 2026
• Jupyter Notebook

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

python reinforcement-learning julia artificial-intelligence pomdps reinforcement-learning-algorithms control-systems markov-decision-processes mdps

• Updated Nov 8, 2026
• Julia

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

reinforcement-learning ai reinforcement-learning-algorithms nature meta-learning

• Updated Dec 2, 2025
• Python

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

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• Updated Oct 26, 2026
• Python

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

reinforcement-learning uav reinforcement-learning-algorithms

• Updated Jan 19, 2024
• Python

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

reinforcement-learning deep-learning uav tensorflow dqn reinforcement-learning-algorithms drones deep-q-network ddpg drl deep-deterministic-policy-gradient computation-offloading unmanned-aerial-vehicle actor-critic-algorithm reinforcementlearning rl-algorithms maddpg mobile-edge-computing

• Updated Oct 8, 2026
• Python

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

awesome reinforcement-learning exploration reinforcement-learning-algorithms awesome-list exploratory exploration-exploitation sparse-reward-algorithms delayed-rewards hard-exploration

• Updated May 21, 2026

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

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• Updated May 19, 2025
• Python

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

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• Updated Jan 13, 2026
• Python