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56 search results found

Elegantrl ⭐ 3,229

Massively Parallel Deep Reinforcement Learning. 🔥

Minimalrl ⭐ 2,417

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Slm Lab ⭐ 1,052

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Mushroom Rl ⭐ 765

Python library for Reinforcement Learning.

Autonomous Learning Library ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

DrQ: Data regularized Q

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning Algorithms Based on PyTorch

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

RAD: Reinforcement Learning with Augmented Data

Rlcycle ⭐ 242

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Pytorch_sac ⭐ 232

PyTorch implementation of Soft Actor-Critic (SAC)

Learning To Drive In 5 Minutes ⭐ 210

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Deeprl Tensorflow2 ⭐ 139

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Torchrl ⭐ 127

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

🚀 A fast safe reinforcement learning library in PyTorch

Paddle Rlbooks ⭐ 108

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Deep Reinforcement Learning With Python ⭐ 94

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Soft Actor Critic And Extensions ⭐ 87

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

JAX implementations of core Deep RL algorithms

Model Free Algorithms ⭐ 52

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Reinforcementlearningzoo.jl ⭐ 45

Rl_bootcamp ⭐ 41

Repository for slides & codes of RL Korea Bootcamp

Rl_matrix ⭐ 36

Reinforcement Learning Agents in .NET

Proto-RL: Reinforcement Learning with Prototypical Representations

☔ Deep RL agents with PyTorch☔

Reinforcement_learning_with_pytorch ⭐ 27

Implement some algorithms of RL

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Rl Visual Continuous Control ⭐ 21

RL Algorithms for Visual Continuous Control

a modular reinforcement learning library with JAX agents

Super_sac ⭐ 18

A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.

Deep Reinforcement Learning Algorithm Collection ⭐ 17

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Rl Toolkit ⭐ 17

RL-Toolkit: A Research Framework for Robotics

[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Mlagents ⭐ 13

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

Mujoco Pytorch ⭐ 12

PPO, DDPG, SAC implementation on mujoco environment

Rl_with_resets ⭐ 11

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

Reinforcement Learning ⭐ 11

Collection of reinforcement learning algorithms implementations with TensorFlow2

Modular_her ⭐ 11

Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.

ReLAx - Reinforcement Learning Applications Library

A Deep Reinforcement Learning (DeepRL) package for RL algorithm developers.

Rl Basics ⭐ 8

Simple single file implementation of Deep Reinforcement Learning algorithms

Deep reinforcement learning framework for fast prototyping based on PyTorch

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

Rl Edge Computing ⭐ 7

Reinforcement learning for load distribution in a decentralized Edge environment. This is the implementation of my Master's thesis project for the Data science course (October 2023).

General-Purpose Reinforcement Learning

Synapse Rl ⭐ 6

PyTorch framework for reinforcement learning

Spinning_up_kr ⭐ 6

Machinelearning ⭐ 6

Various machine learning implementations and tools

Sac Td3 Td7 ⭐ 5

pytorch implementation of SAC, TD3 and TD7 with Mujoco Benchmark results from 4 seeds.

BasicRL: easy and fundamental codes for deep reinforcement learning。It is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up.

Smart Calibration ⭐ 5

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

Reinforcement Learning Visualization ⭐ 5

2D and 3D visualization tools for a RL model's learning space. Sorbonne University, Paris, MSc Computer Science, 1st year research project.

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