678 Open source projects that are alternatives of or similar to Openaigym

Reinforcement Learning Assignment: Easy21

RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

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

Computational framework for reinforcement learning in traffic control

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Codebase for the Summary Loop paper at ACL2020

Connecting Torch to StarCraft

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

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

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

PyTorch implementation of Trust Region Policy Optimization

backtrader with DRL ( Deep Reinforcement Learning)

PyTorch implementation of soft actor critic

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

Cornell Instruction Following Framework

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Our NIPS 2017: Learning to Run source code

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

和（he for objective-c） —— “信息熵减机系统”

A Platform for Many-agent Reinforcement Learning

Simple tools for logging and visualizing, loading and training

Open source collection of Reinforcement Learning Environments.

Reversi reinforcement learning by AlphaGo Zero methods.

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

Tic Tac Toe Machine Learning

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

My experimentations with Reinforcement Learning in Pytorch

Tensorforce: a TensorFlow library for applied reinforcement learning

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

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

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

Basic reinforcement learning implementation with tensorflow version 2.0

Asynchronous Methods for Deep Reinforcement Learning

DrQ: Data regularized Q

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Deep Reinforcement Learning for Keras.

Dream to Control: Learning Behaviors by Latent Imagination

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

A list of recent papers regarding dialogue generation

MuZero

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

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

This is a simple implementation of DeepMind's PySC2 RL agents.

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

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

An OpenAI-gym-like environment for Little Fighter 2

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

Code repository for the Animal AI Olympics competition

Initiative to read research papers

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

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.

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