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Yu-Han-98's starred repositories

ARES

Black-box tool that uses Deep Reinforcement Learning to test and explore Android applications

Language:PythonAGPL-3.06800

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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Minigrid

Simple and easily configurable grid world environments for reinforcement learning

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Stoat

Stoat (STochastic model App Tester) - an automatic testing tool for android apps

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pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Language:Jupyter NotebookMIT83200

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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keras

Deep Learning for humans

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Humanoid

Explore Android apps like human.

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droidbot

A lightweight test input generator for Android. Similar to Monkey, but with more intelligence and cool features!

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Language:PythonMIT410300

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Language:PythonMIT845600

sapienz

A Prototype of Sapienz (Out-of-date and no longer supported)

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DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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awesome-rl

Reinforcement learning resources curated

873300

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Language:Jupyter NotebookMIT2028200