534 Open source projects that are alternatives of or similar to Aim

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

Deep Reinforcement Learning for Keras.

A collection of machine learning examples and tutorials.

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

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

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

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

Resources to learn more about Machine Learning and Artificial Intelligence

Guided Policy Search

Deep Reinforcement Learning For Sequence to Sequence Models

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

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

TensorFlow and Deep Learning Tutorials

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

Quiz & Assignment of Coursera

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

Solutions of Reinforcement Learning, An Introduction

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

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

Code repository for the Animal AI Olympics competition

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

Implementations of selected inverse reinforcement learning algorithms.

Reinforcement learning environments with musculoskeletal models

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

Gibson Environments: Real-World Perception for Embodied Agents

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Deep Reinforcement Learning with pytorch & visdom

Computational framework for reinforcement learning in traffic control

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Reversi reinforcement learning by AlphaGo Zero methods.

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Asynchronous Methods for Deep Reinforcement Learning

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Trax — Deep Learning with Clear Code and Speed

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

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

References on Optimal Control, Reinforcement Learning and Motion Planning

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Monthly Series - Top 10 Machine Learning Articles

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A minimalist environment for decision-making in autonomous driving

Hearthstone simulator using C++ with some reinforcement learning

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

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

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

My Reading Lists of Deep Learning and Natural Language Processing