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89 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

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".

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

Pytorch A3c ⭐ 768

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Super Mario Bros A3c Pytorch ⭐ 735

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

Pytorch Rl ⭐ 703

Deep Reinforcement Learning with pytorch & visdom

Async_deep_reinforce ⭐ 560

Asynchronous Methods for Deep Reinforcement Learning

Rl_a3c_pytorch ⭐ 535

A3C LSTM Atari with Pytorch plus A3G design

Deep Rl Keras ⭐ 516

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

A3c_trading ⭐ 378

Trading with recurrent actor-critic reinforcement learning

Async Rl ⭐ 372

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

Reinforcement_learning_tutorial_with_demo ⭐ 357

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..

Meta Rl ⭐ 332

Implementation of Meta-RL A3C algorithm

Pysc2 Agents ⭐ 271

This is a simple implementation of DeepMind's PySC2 RL agents.

Reinforcement_learning ⭐ 250

Reinforcement learning tutorials

Rlcycle ⭐ 242

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

Deeprl Grounding ⭐ 213

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

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

Neural Localization ⭐ 173

Train an RL agent to localize actively (PyTorch)

Tensorflow Rl ⭐ 173

Implementations of deep RL papers and random experimentation

Dqn_tensorflow ⭐ 152

Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'

Deeprl Tensorflow2 ⭐ 139

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

Torch Ac ⭐ 134

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

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Street Fighter A3c Icm Pytorch ⭐ 106

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

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

Reinforce_py ⭐ 91

Reinforcement Learning in Python

Rl Examples ⭐ 88

Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow

Reinforcementlearning Atarigame ⭐ 87

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Combining deep learning and reinforcement learning.

Sc2aibot ⭐ 84

Implementing reinforcement-learning algorithms for pysc2 -environment

Async Deep Rl ⭐ 68

A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783

Pytorch A3c Mujoco ⭐ 62

Implement A3C for Mujoco gym envs

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

Super Mario Bros Rl ⭐ 57

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

Reinforcepy ⭐ 54

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

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Tf A3c Gpu ⭐ 48

Tensorflow implementation of A3C algorithm

Reinforcement Learning ⭐ 39

Personal experiments on Reinforcement Learning

Policy Gradient Methods ⭐ 35

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

Rl Gallery ⭐ 34

A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.

A3c_keras_flappybird ⭐ 32

Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras

A3c Distributed_tensorflow ⭐ 30

Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning

Deep Rl Agents ⭐ 28

☔ Deep RL agents with PyTorch☔

A3c Super Mario Pytorch ⭐ 28

Reinforcement Learning for Super Mario Bros using A3C on GPU

A3c Continuous ⭐ 27

Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Reinforcement_learning_with_tensorflow ⭐ 25

Minimal implementations of reinforcement learning algorithms by Tensorflow

Tutorial4rl ⭐ 25

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

Master Thesis ⭐ 25

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Batch A3c_tensorflow ⭐ 25

Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'

Simple Reinforcement Learning Framework

Awesome Deep Reinforcement Learning ⭐ 21

A collection of resources about deep reinforcement learning

A3c Crypto Trader ⭐ 20

Deep Reinforcement Learning A3C Crypto Trading Bot

Deep_rl_vizdoom ⭐ 19

Deep reinforcement learning in ViZDoom (using Tensorflow)

My experimentations with Reinforcement Learning in Pytorch

Reinforcement learning in 3D.

Nlor_a3c ⭐ 17

Tensorflow implementation of "An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning"

Ga3c Cpp ⭐ 16

A C++ implementation of the asynchronous advantage actor-critic (A3C) algorithm

Pysc2 Rl Mini ⭐ 16

StarCraft II Reinforcement Learning with Pytorch - Mini Games

Atari Leaderboard ⭐ 16

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

A3c_tensorflow ⭐ 15

Tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'

Mlagents ⭐ 13

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

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Reinforcement Learning Super Mario A3c ⭐ 10

Learning to play supermario using A3C algorithm

Reinforcement ⭐ 10

Learning to Reinforcement Learn

L2rpn Using A3c ⭐ 10

Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/2284 The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet). It is released under a license of LGPLv3

Reinforceflow ⭐ 9

Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym

Sc2_harvesteragent ⭐ 9

A StarCraft 2 agent for harvesting resources

Pommerman ⭐ 9

💣 Bomberman deep reinforcement learning challenge in PyTorch

Vizdoomagents ⭐ 9

😈 Train ViZDoom agents by Reinforcement Learning 👻

A Reinforcement Learning framework for the NAO robot

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

Actor Critic Algs On Tensorflow ⭐ 8

Distributed RL implementations

Resourcegather ⭐ 6

Studying the application of Reinforcement Learning in Real-Time Strategy games by implementing an agent that learns optimal behavior for various aspects of the game StarCraft II.

Common RL framework and utilities.

Nec_tensorflow ⭐ 6

Custom implementation of Deepmind's Neural Episodic Control.

Mlds_2018spring ⭐ 6

Machine learning and deep structure

Paac Pytorch ⭐ 5

PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning"

Rlcontinuousactionspace ⭐ 5

Reinforcement Learning in continuous state and action spaces. DDPG: Deep Deterministic Policy Gradient and A3C: Asynchronous Actor-Critic Agents

Sc2agents ⭐ 5

PySC2 Reinforcement Learning Agents

Attentiontrl ⭐ 5

Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind

Golds Rl Gym ⭐ 5

Cont. control RL algorithms and multi-agent environments

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