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101 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

Reinforcement Learning ⭐ 4,097

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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)

Deep Reinforcement Learning

Ppo Pytorch ⭐ 1,270

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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 Rl ⭐ 638

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

Rlseq2seq ⭐ 610

Deep Reinforcement Learning For Sequence to Sequence Models

Hands On Reinforcement Learning With Python ⭐ 596

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Awesome Monte Carlo Tree Search Papers ⭐ 537

A curated list of Monte Carlo tree search papers with implementations.

Deep Rl Keras ⭐ 516

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

Tensorflow Reinforce ⭐ 477

Implementations of Reinforcement Learning Models in Tensorflow

Rl_algorithms ⭐ 470

Structural implementation of RL key algorithms

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

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..

Pytorch Rl ⭐ 356

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

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Openai_lab ⭐ 314

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

Text_summurization_abstractive_methods ⭐ 310

Multiple implementations for abstractive text summurization , using google colab

Handyrl ⭐ 278

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

Multihopkg ⭐ 252

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Reinforcement_learning ⭐ 250

Reinforcement learning tutorials

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

Deep Algotrading ⭐ 145

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Show Adapt And Tell ⭐ 142

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Paddle Rlbooks ⭐ 108

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

Torchrl ⭐ 107

Highly Modular and Scalable Reinforcement Learning

Mlds2018spring ⭐ 106

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Reinforcement Learning ⭐ 95

🤖 Implements of Reinforcement Learning algorithms.

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

Reinforcement_learning ⭐ 89

강화학습에 대한 기본적인 알고리즘 구현

Combining deep learning and reinforcement learning.

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

Rl Course Experiments ⭐ 73

Explorer ⭐ 68

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

Pytorch Rl ⭐ 64

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Reinforcement_learning ⭐ 62

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Imitation_learning ⭐ 56

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Drl_in_cv ⭐ 54

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Spinning Up A Pong Ai With Deep Rl ⭐ 53

Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Reinforcementlearning ⭐ 48

Reinforcing Your Learning of Reinforcement Learning

Pytorch Learn Reinforcement Learning ⭐ 42

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

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

Chainer Seqgan ⭐ 34

implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Reinforcement Learning ⭐ 33

Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch

Reinforcementlearning ⭐ 32

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy basd)的代码，代码都经过调试并可以运行

On The Fly Fgsbir ⭐ 30

[CVPR 2020, Oral] "Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. .

Optimization_of_image_description_metrics_using_policy_gradient_methods ⭐ 29

Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods

Sinkhorn Policy Gradient.pytorch ⭐ 29

Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"

Rl Implementation Impala ⭐ 28

A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

Policy Gradient Pong ⭐ 27

tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/

Tutorial4rl ⭐ 25

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

Practical_rl ⭐ 24

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm

Applied Deep Learning (2019 Spring) @ NTU

Rl Short Course ⭐ 18

Reinforcement Learning Short Course

Ranking Policy Gradient

Deep Reinforcement Learning Cs285 Pytorch ⭐ 17

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Solving several OpenAI Gym and custom gazebo environments using reinforcement learning techniques.

Deep Reinforcement Learning Algorithm Collection ⭐ 17

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Deep_rl_pong_keras ⭐ 16

Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras

Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients

Policy Gradient Methods ⭐ 15

Modular PyTorch implementation of policy gradient methods

Sources Of Reinforcement Learning ⭐ 15

All the source codes and lectures of reinforcement learning.

Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).

Emotional_dialogue ⭐ 15

A Deep Reinforcement Learning Approach (LSTM + policy gradient) to create a chatbot that produces coherent, emotional dialogue.

Minimal Policy Search Toolbox

There are few caveats when you want to use a Recurrent Neural Network (RNN) policy with Policy Gradient Algorithms. This repository explains them and provide a solution for them. Please see the blog for more details.

Deep Rl Torcs ⭐ 12

Autonomous Navigation using Deep Reinforcement Learning

Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.

Neural Architecture Search ⭐ 11

Re-implementation of Neural Architecture Search using Reinforcement Learning

ReLAx - Reinforcement Learning Applications Library

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Pacman Rl ⭐ 9

Implement some reinforcement learning algorithms, test and visualize on Pacman.

Rlin200lines ⭐ 9

PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines

Policygradient_ponggame ⭐ 9

Pong Game problem solving using RL - Policy Gradient with OpenAI Gym Framework and Tensorflow

Deep Bayesian Quadrature Policy Optimization ⭐ 9

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

Pong With Policy Gradients ⭐ 9

Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/

Ct_keras_pong ⭐ 9

An AI that plays Atari 2600 Pong. Trained with reinforcement learning using OpenAI Gym and Keras

testing MLP, DQN, PPO, policy-gradient , LSTM + DQN by snake

Ppo Tensorflow 2.0 ⭐ 8

Proximal Policy Optimization with Tensorflow 2.0

Multi Armed Bandit With Policy Gradient ⭐ 8

A multi armed bandit Reinforcement learning problem using Policy Gradient.

Deep Learning In Catalyst ⭐ 8

Using deep learning and reinforcement learning in a Enigma Catalyst algorithm.

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

You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.

Transportation Routes Optimization By Rl ⭐ 7

Application of reinforcement learning to Optimize transportation routes using reinforcement learning

Bipedalwalker V2 ⭐ 7

Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning

Reinforcement Learning ⭐ 7

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

Cs6700 Reinforcement Learning ⭐ 7

Artificial Intelligence series

Deep Rl Autonomous Systems ⭐ 7

Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.

Reinforcement Learning Experiments ⭐ 7

Reinforcement learning experiments with Tic Tac Toe, especially with "logical representations"

Reinforcementlearning ⭐ 6

Reinforcement Learning algorithms with nothing abstracted away

Mountain Car Continuous ⭐ 6

Implementations of solutions to the continuous mountain car problem. Using OpenAI Gym and Tensorflow 1.1.

Reinforcement Learning Keras ⭐ 6

Reinforcement learning algorithms implemented in Keras (tensorflow==2.3) and sklearn

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