reinforcement-learning-algorithms

35 projetos partilham este topic do GitHub

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros

stable-baselines3

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

★ 13.6k

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

★ 5.2k

DI-engine

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

★ 3.6k

PPO-PyTorch

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

★ 2.4k

awesome-model-based-RL

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

★ 1.4k

PPO-for-Beginners

A simple and well styled PPO implementation. Based on my Medium series:…

★ 1.3k

rex-gym

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

★ 1.1k

purejaxrl

Really Fast End-to-End Jax RL Implementations

★ 1.1k

awesome-decision-transformer

A curated list of Decision Transformer resources (continually updated)

★ 915

course-content-dl

NMA deep learning course

★ 811

POMDPs.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable…

★ 764

stable-baselines3-contrib

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

★ 729

UAV_Obstacle_Avoiding_DRL

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

★ 724

Rofunc

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

★ 717

UAV-DDPG

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep…

★ 717

disco_rl

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

★ 717

awesome-exploration-rl

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

★ 715

awesome-monte-carlo-tree-search-papers

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

★ 713

reinforcement-learning-an-introduction-chinese

《Reinforcement Learning: An Introduction》（第二版）中文翻译

★ 686

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

★ 655

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

★ 605

gps

Guided Policy Search

★ 600

PokerRL

Framework for Multi-Agent Deep Reinforcement Learning in Poker

★ 534

dLLM-RL

[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA…

★ 511

Reinforcement_Learning_in_Python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of…

★ 511

Machine-Learning-Notebooks

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

★ 425

Stoix

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX…

★ 416

genrl

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an…

★ 412

awesome-reinforcement-learning-lib

GitHub's code repository is all you need

★ 386

RL-Theory-book

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

★ 350

DI-engine-docs

DI-engine docs (Chinese and English)

★ 348

Hierarchical-Actor-Critic-HAC-PyTorch

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

★ 337

simple_rl

A simple framework for experimenting with Reinforcement Learning in Python.

★ 335

Deep-CFR

Scalable Implementation of Deep CFR and Single Deep CFR

★ 330

RL_Matrix

Deep Reinforcement Learning in C#

★ 310

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.