1162 Open source projects that are alternatives of or similar to Rl Baselines Zoo

OpenAI's cartpole env solver.

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

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Black box hyperparameter optimization made easy.

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

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

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

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A library for performing hyperparameter optimization

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Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

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

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PyTorch Implementation of REINFORCE for both discrete & continuous control

OpenAI's Gym written in pure Rust for blazingly fast performance

Solving OpenAI Gym problems.

Distribution transparent Machine Learning experiments on Apache Spark

Sequential Model-based Algorithm Configuration

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Hyperparameter optimization in Julia.

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Experimental Global Optimization Algorithm

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Collection of Deep Reinforcement Learning algorithms

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

A general-purpose pythonic genetic algorithm.

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

A3C LSTM Atari with Pytorch plus A3G design

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

Structural implementation of RL key algorithms

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

A curated list of awesome links and software libraries that are useful for robots.

Hearthstone simulator using C++ with some reinforcement learning