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

LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL

Reinforcement Learning algorithms and use-cases, including DQN, PG, A3C, PPO etc. and RLHF, AlphaZero implementations. Designed for clarity, ease of use, and educational purposes.

Simple single file implementations of Reinforcement Learning algorithms in Julia

Adding Dreamer-v3's implementation tricks to CleanRL's PPO

Clean and easy to understand implementations of many Quantum Reinforcement Learning agents as well as their classical analouges. Greately inspired by the orgininal CleanRL

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Experimenting with CleanRL for learned-planners

cleanrl应用于自定义gym环境

Implementation of the paper "Towards mental time travel: a hierarchical memory for reinforcement learning agent" using CleanRL

A framework for Reinforcement Learning from Human Feedback based on CleanRL

MindSpore version of CleanRL, for supporting online reinforcement learning algorithms

This repository aims to provide the minimalism of cleanRL with the performance of SBX

De novo cyclic protein polypeptide design using reinforcement learning.

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the rl algos implementation inspired by cleanrl

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"A modular and clean research framework for Generative AI, based on popular open-source repositories like Transformers, TRL, Diffusions, and CleanRL."

copy cleanrl at 20221230

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My implementation of dqn in jupyter lab. Hyperparameters by https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl

CleanRL PPO implementation for JAXAtari VideoPinball

Stable and Mathematically Accurate Reinforcement Learning

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A deep reinforcement learning library implemented with Flax/NNX, inspired by CleanRL design philosophy and integrated with the latest SimBa architecture

Several minimal implemetations of RL/Imitation algorithms, following CleanRL's philosophy

Trained a custom hexapod robot to crawl using reinforcement learning

A Gymnasium-compatible deep RL framework for Hytale. Trains autonomous agents to gather, craft, build, and survive using PPO and curriculum learning. Includes a Java server plugin (TCP/MessagePack bridge), 7 environments, 29 block types, Hytale-accurate creature AI, and full SB3/CleanRL integration.