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43 search results found

Reinforcement Learning With Tensorflow ⭐ 8,174

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Easy Rl ⭐ 7,643

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github

Tensorlayer ⭐ 7,288

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Reinforcement Learning ⭐ 3,119

Minimal and Clean Reinforcement Learning Examples

Deep Reinforcement Learning With Pytorch ⭐ 2,741

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

Minimalrl ⭐ 2,417

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

Slm Lab ⭐ 1,052

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

PFRL: a PyTorch-based deep reinforcement learning library

Pytorch Rl ⭐ 703

Deep Reinforcement Learning with pytorch & visdom

Deep Rl Keras ⭐ 521

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

Reinforcement_learning ⭐ 250

Reinforcement learning tutorials

Rlcycle ⭐ 242

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

Reinforcement Learning Kr ⭐ 238

[파이썬과 케라스로 배우는 강화학습] 예제

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

Tensorflow Rl ⭐ 173

Implementations of deep RL papers and random experimentation

Deeprl Tensorflow2 ⭐ 139

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

Deep Reinforcement Learning With Python ⭐ 94

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

Reinforcepy ⭐ 54

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

☔ Deep RL agents with PyTorch☔

Tensorpoker ⭐ 25

Deep RL based poker bot

Tutorial4rl ⭐ 25

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

Reinforcement_learning_with_tensorflow ⭐ 25

Minimal implementations of reinforcement learning algorithms by Tensorflow

Radial_rl ⭐ 25

Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"

Awesome Deep Reinforcement Learning ⭐ 21

A collection of resources about deep reinforcement learning

Deep_rl_vizdoom ⭐ 19

Deep reinforcement learning in ViZDoom (using Tensorflow)

Reinforcement learning in 3D.

Deep reinforcement learning package for torch7

Atari Leaderboard ⭐ 16

A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).

Mlagents ⭐ 13

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

Deep Reinforcement Learning Notebooks ⭐ 13

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.

Rl_algorithms ⭐ 10

Take the code of the reinforcement learning algorithm here~

Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.

Pommerman ⭐ 9

💣 Bomberman deep reinforcement learning challenge in PyTorch

Reinforceflow ⭐ 9

Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

Tensorflow Rl ⭐ 8

텐서플로우 강화학습 튜토리얼 : AlphaGo부터 스타크래프트2 강화학습 에이전트 만들어보기

Sjtu Rl 2019 ⭐ 6

Assignments of Reinforcement Learning Course in SJTU including DP(Dynamic Programming), MC(Monte-Caro Learning), TD(Temporal-Difference), Sarsa, Q-learning, DQN, A3C and DDPG.

Common RL framework and utilities.

Reinforcement Learning ⭐ 5

base reinforcement learning algorithm

Morvanzhou Reinforcement Learning With Tensorflow ⭐ 5

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