626 Open source projects that are alternatives of or similar to Run Skeleton Run

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

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)

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

🔥🌟《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!

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

PyTorch C++ Reinforcement Learning

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Python library for Reinforcement Learning.

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

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

A PyTorch library for building deep reinforcement learning agents.

Our NIPS 2017: Learning to Run source code

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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

Repo for the Deep Reinforcement Learning Nanodegree program

An elegant PyTorch deep reinforcement learning library.

ROS 2 enabled Machine Learning algorithms

Deep Reinforcement Learning with pytorch & visdom

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

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

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).

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Minimal implementations of reinforcement learning algorithms by Tensorflow

☔ Deep RL agents with PyTorch☔

Live Trading. Please star.

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

Code for NIPS 2017 learning to run challenge

Lightweight deep RL Libraray for continuous control.

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

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

TD-Regularized Actor-Critic Methods

Implementation of algorithms for continuous control (DDPG and NAF).

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

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

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

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

Simple Reinforcement Learning Framework

No description or website provided.

DrQ: Data regularized Q

juliareinforcementlearning.org/

RAD: Reinforcement Learning with Augmented Data

RLgraph: Modular computation graphs for deep reinforcement learning

Minimal and Clean Reinforcement Learning Examples

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

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

PyTorch implementation of Trust Region Policy Optimization

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

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

A3C LSTM Atari with Pytorch plus A3G design

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Implementations of Reinforcement Learning Models in Tensorflow

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