Johnny He (sweetice)

sweetice

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Location:Tuebingen, Germany

Home Page:sweetice.github.io

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Johnny He's starred repositories

models

Models and examples built with TensorFlow

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LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

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ItChat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信,三十行即可自定义个人号机器人。

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style2paints

sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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retro

Retro Games in Gym

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

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rlkit

Collection of reinforcement learning algorithms

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noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

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pytorch-a3c

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

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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.

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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.

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gym-super-mario-bros

An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

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modular_rl

Implementation of TRPO and related algorithms

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go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

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VirtualTaobao

Virtual-Taobao simulators with OpenAI Gym interface

pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

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learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

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Hierarchical-Actor-Critc-HAC-

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

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aftershocks_issues

Issues with Deep Learning of Aftershocks by DeVries

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feudal-montezuma

Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge

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pytorch-noreward-rl

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

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Super-Mario-Bros-RL

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

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RL-Gallery

A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.

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qmap

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

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sac

Implementation of Soft Actor Critic

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The-PyTorch-Self-Driving-Experiment-by-DDPG-on-TORCS

用PyTorch重构流传最广的Keras、TensorFlow做的TORCS实验。训练DDPG模型。

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