6510 Open source projects that are alternatives of or similar to Pytorch Rl

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..

DrQ: Data regularized Q

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

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

Minimal and Clean Reinforcement Learning Examples

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

A course in reinforcement learning in the wild

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Multiple implementations for abstractive text summurization , using google colab

A community run, 5-day PyTorch Deep Learning Bootcamp

Grokking Deep Reinforcement Learning

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

Deep Reinforcement Learning For Sequence to Sequence Models

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

RAD: Reinforcement Learning with Augmented Data

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Implementations of Reinforcement Learning Models in Tensorflow

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

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

PyTorch implementation of Soft Actor-Critic (SAC)

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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

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

Reinforcement Learning Algorithms

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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

Some notebooks

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

A Trading environment base on Gym

Reinforcement Learning Workshop for Data Science BKK

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

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

MuZero

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

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

ROS 2 enabled Machine Learning algorithms

TensorFlow Tutorials with YouTube Videos

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

My Attempt(s) In The World Of ML/DL....