128 Open source projects that are alternatives of or similar to model-free-algorithms

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

juliareinforcementlearning.org/

An elegant PyTorch deep reinforcement learning library.

Lightweight deep RL Libraray for continuous control.

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

Modularized Implementation of Deep RL Algorithms in PyTorch

☔ Deep RL agents with PyTorch☔

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

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

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

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

JAX implementations of core Deep RL algorithms

Live Trading. Please star.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Repo for the Deep Reinforcement Learning Nanodegree program

A PyTorch library for building deep reinforcement learning agents.

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

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

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

Simple Reinforcement Learning Framework

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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

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

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

Fabric mod for rainbow and blur backgrounds in minecraft guis

Accelerating Quadratic Optimization with Reinforcement Learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Code for NIPS 2017 learning to run challenge

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Library of PH5 clients, apis, and utilities

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

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Ape-X DQN & DDPG with pytorch & tensorboard

Minimal implementations of reinforcement learning algorithms by Tensorflow

Sample source code for Android Pride Rainbow Bounding Box written in Kotlin and OpenGL 🏳️‍🌈

An architecture-based self-adaptation service for Kubernetes

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

Learning Continuous Control in Deep Reinforcement Learning

Using PyTorch and DDPG to play Torcs

🌈 256-color support for console outputs

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Pytorch Implementation of RL algorithms

A Livesplit-inspired speedrunning split timer for Linux/macOS terminal. Supports global hotkeys.

Make your bash prompt dynamically and randomly rainbow

🌈 React Rainbow Components. Build your web application in a snap.

🌈 Lolcat in Go: Rainbows and Unicorns!

🌈Rainbow Brackets for IntelliJ based IDEs/Android Studio/HUAWEI DevEco Studio

Golang Helper for beautiful CLI Applications