228 Open source projects that are alternatives of or similar to mujoco-benchmark

An elegant PyTorch deep reinforcement learning library.

Python library for Reinforcement Learning.

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

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

juliareinforcementlearning.org/

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

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

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Proto-RL: Reinforcement Learning with Prototypical Representations

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

Lightweight deep RL Libraray for continuous control.

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

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

☔ Deep RL agents with PyTorch☔

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Live Trading. Please star.

ROS 2 enabled Machine Learning algorithms

JAX implementations of core Deep RL algorithms

DrQ: Data regularized Q

RAD: Reinforcement Learning with Augmented Data

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

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Ape-X DQN & DDPG with pytorch & tensorboard

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

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

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

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

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Repo for the Deep Reinforcement Learning Nanodegree program

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)

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

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

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

🔥🌟《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!

A PyTorch library for building deep reinforcement learning agents.

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.

Modularized Implementation of Deep RL Algorithms in PyTorch

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

Hearthstone simulator using C++ with some reinforcement learning

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

An environment to high-frequency trading agents under reinforcement learning

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Spriteworld: a flexible, configurable python-based reinforcement learning environment

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

AI research environment for the Atari 2600 games 🤖.

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

OpenNARS for Research 3.0+

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Graph-based Deep Q Network for Web Navigation

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

基于bert4keras的GLUE基准代码