534 Open source projects that are alternatives of or similar to Neural Logic Machines

A curated list of Deep Learning

Resources to learn more about Machine Learning and Artificial Intelligence

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Reinforcement learning environments with musculoskeletal models

60_Days_RL_Challenge中文版

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

TensorFlow and Deep Learning Tutorials

My Solution to Assignments of CS234

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Solutions of Reinforcement Learning, An Introduction

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A collection of machine learning examples and tutorials.

Unity Machine Learning Agents Toolkit

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Safe Bayesian Optimization

Deep Reinforcement Learning For Sequence to Sequence Models

Testbed for deep reinforcement learning

Gibson Environments: Real-World Perception for Embodied Agents

A working implementation of the Categorical DQN (Distributional RL).

My Reading Lists of Deep Learning and Natural Language Processing

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Tensorflow implementation of generative adversarial imitation learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

MAGNet: Multi-agents control using Graph Neural Networks

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Reinforcement Learning for WeChat Jump

Deep Reinforcement Learning for Keras.

Coding Demos from the School of AI's Move37 Course

Code repository for the Animal AI Olympics competition

Reinforcement learning tutorials

Guided Policy Search

Sokoban environment for OpenAI Gym

Implementations of selected inverse reinforcement learning algorithms.

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

A comprehensive autonomous decentralized systems framework for AI control architects.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

A C++ framework for MDPs and POMDPs with Python bindings

Scalable Implementation of Deep CFR and Single Deep CFR

An OpenAI-gym-like environment for Little Fighter 2

Artificial Intelligence Learning Notes.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Collection of stats, modeling, and data science tools in Python and R.

self-studying the Sutton & Barto the hard way

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

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