439 Open source projects that are alternatives of or similar to TF2-RL

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

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

An elegant PyTorch deep reinforcement learning library.

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

juliareinforcementlearning.org/

☔ Deep RL agents with PyTorch☔

Repo for the Deep Reinforcement Learning Nanodegree program

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

Modularized Implementation of Deep RL Algorithms in PyTorch

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

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

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

Python library for Reinforcement Learning.

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

🔥🌟《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!

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.

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

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)

Solving OpenAI Gym problems.

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

Lightweight deep RL Libraray for continuous control.

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

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

Live Trading. Please star.

A PyTorch library for building deep reinforcement learning agents.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

Pytorch Implementation of RL algorithms

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

🤖 Implements of Reinforcement Learning algorithms.

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

ROS 2 enabled Machine Learning algorithms

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

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

Autonomous Drifting using Reinforcement Learning

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

[파이썬과 케라스로 배우는 강화학습] 예제

Reinforcement learning tutorials

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

Master Thesis: Limit order placement with Reinforcement Learning

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

OpenAI's cartpole env solver.

Implementations of deep RL papers and random experimentation

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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

Minimal implementations of reinforcement learning algorithms by Tensorflow

Ape-X DQN & DDPG with pytorch & tensorboard

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

No description or website provided.

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

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

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