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Top 962 reinforcement-learning open source projects

Deeprec
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
Tradinggym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Chatbot cn
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
Super Mario Bros A3c Pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Hands On Meta Learning With Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Notes
Resources to learn more about Machine Learning and Artificial Intelligence
Osim Rl
Reinforcement learning environments with musculoskeletal models
Deeprl Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Rex Gym
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Rlseq2seq
Deep Reinforcement Learning For Sequence to Sequence Models
Highway Env
A minimalist environment for decision-making in autonomous driving
Pytorch Rl
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Super Mario Bros Ppo Pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Neuraldialogpapers
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
Gym Anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
David Silver Reinforcement Learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Flow
Computational framework for reinforcement learning in traffic control
Chinesechess Alphazero
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Exposure
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Reversi Alpha Zero
Reversi reinforcement learning by AlphaGo Zero methods.
Habitat Lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
Elegantrl
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Fast abs rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
Async deep reinforce
Asynchronous Methods for Deep Reinforcement Learning
Tensorflow Value Iteration Networks
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
Leakgan
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
Phd Bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
Inverse Reinforcement Learning
Implementations of selected inverse reinforcement learning algorithms.
Gym Starcraft
StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)
Holodeck
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
Dissecting Reinforcement Learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Rosettastone
Hearthstone simulator using C++ with some reinforcement learning
Ai Toolbox
A C++ framework for MDPs and POMDPs with Python bindings
Reaver
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
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