750 Open source projects that are alternatives of or similar to Papers_we_read

List of some useful blogs, books, courses, papers etc. 📚

Implementing trajectory optimization on bipedal system

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Gridworld environments for OpenAI gym.

Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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

Chrome extension to filter files in GitHub code review using glob

Deep Reinforcement Learning for de-novo Drug Design

List of summer schools in machine learning + related fields across the globe

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AI斗地主

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

Implementation of the Deep Q-learning algorithm to solve MDPs

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

For deep RL and the future of AI.

Master Thesis: Limit order placement with Reinforcement Learning

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

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

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

MuZero

Using deep reinforcement learning to tackle the game 2048.

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

🐙 🐙图形学论文实现

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Studying Reinforcement Learning Guide

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

A curated list of awesome embedding models tutorials, projects and communities.

Reinforcement learning framework to accelerate research

A review of the freaking awesome you don't know JS books series.

Machine learning, in numpy

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

Chess reinforcement learning by AlphaGo Zero methods.

Essential Guide to keep up with AI/ML/DL/CV

OpenAI's cartpole env solver.

区块链相关的有价值的文献

Artificial Intelligence Learning Notes.

Actor-Critic Instance Segmentation (CVPR 2019)

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

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

self-studying the Sutton & Barto the hard way

Reinforcement Learning Algorithms

Paper list and source code for multi-object-tracking

Flappy Bird hack using Reinforcement Learning

PyTorch implementation of Soft Actor-Critic (SAC)

A collection of papers on modules.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

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Train an RL agent to localize actively (PyTorch)

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Scalable Implementation of Deep CFR and Single Deep CFR

A Python interface for reinforcement learning environments

A Flutter animated widget made to help users leave reviews and feedbacks