682 Open source projects that are alternatives of or similar to Deep Rl Keras

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

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

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

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

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

Reinforcement learning tutorials

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

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

Structural implementation of RL key algorithms

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

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

Minimal and Clean Reinforcement Learning Examples

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Repo for the Deep Reinforcement Learning Nanodegree program

Scalable, event-driven, deep-learning-friendly backtesting library

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

Implementations of deep RL papers and random experimentation

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

An elegant PyTorch deep reinforcement learning library.

A PyTorch library for building deep reinforcement learning agents.

Python library for Reinforcement Learning.

Minimal implementations of reinforcement learning algorithms by Tensorflow

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

AI research environment for the Atari 2600 games 🤖.

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

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

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

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

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

Solving OpenAI Gym problems.

Highly Modular and Scalable Reinforcement Learning

Accompanying repository for Let's make a DQN / A3C series.

강화학습에 대한 기본적인 알고리즘 구현

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

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

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..

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

Deep Reinforcement Learning with pytorch & visdom

🤖 Implements of Reinforcement Learning algorithms.

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

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

An OpenAI-gym-like environment for Little Fighter 2

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

Multiple implementations for abstractive text summurization , using google colab

Explore and find reinforcement learning environments in a list of 150+ open source environments.

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

PyTorch implementation of Soft Actor-Critic (SAC)

Unreal environments for reinforcement learning

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

A collection of multi agent environments based on OpenAI gym.

Sokoban environment for OpenAI Gym

PyTorch Implementation of REINFORCE for both discrete & continuous control