Home / Java / Machine Learning

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

IMPORTANT: THIS REPOSITORY HAS BEEN ARCHIVED AND RL4J HAS BEEN MOVED RL4J has been migrated to a sub-module of the mono-repository here: https://github.com/deeplearning4j/deeplearning4j All future development will continue at tha
Information
Category: Java / Machine Learning
Watchers: 51
Star: 339
Fork: 123
Last update: Nov 24, 2021

If you're here because you're looking for reinforcement learning tools for AnyLogic, our current solution is Pathmind.

Contents
    ikostrikov PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
    hiwonjoon Tensorflow implementation of A3C algorithm
    awjuliani Implementation of Meta-RL A3C algorithm
    germain-hug Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
    uber-common JVM Profiler Sending Metrics to Kafka, Console Output or Custom Reporter
    ajermakovics Console-based JVM monitoring tool
    carpedm20 TensorFlow implementation of Deep Reinforcement Learning papers
    MorvanZhou Simple A3C implementation with pytorch + multiprocessing
    cucumber Cucumber for the JVM
    aragozin Small set of tools for JVM troublshooting, monitoring and profiling.
    devsisters Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
    uvipen Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
    sweetice PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
    cpnota A PyTorch library for building deep reinforcement learning agents.
    chainer ChainerRL is a deep reinforcement learning library built on top of Chainer.
    andri27-ts Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
    iffiX Machin is a reinforcement library designed for pytorch.
    awjuliani Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
    udacity Repo for the Deep Reinforcement Learning Nanodegree program
    dongminlee94 Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
    Albert-Z-Guo A light-weight deep reinforcement learning framework for portfolio management.
    Resource links
    https://github.com/deeplearning4j/rl4j
    Share this repo

    Related Repos


    Machine Learning
    5
    A library based on Hudi for Spark.
    AirToSupply hudi-spark-plus A library based on Hudi for Spark. Requirements The library currently supports the following versions of components： （1）Scala：2.12.x （
     
    Machine Learning
    22
    lava-dl is a library of deep learning tools within Lava
    lava-nc lava-dl is a library of deep learning tools within Lava that support offline training, online training and inference methods for various Deep Event-Based Networks.
     
    Machine Learning
    5
    ☄️ LiteCommands - Command framework for Velocity and your other implementations.
    Rollczi ☄️ LiteCommands Command framework for Velocity and your other implementations. Helpful links: Support Discord GitHub issues Panda Repository (Maven or
     
    Machine Learning
    21
    Firestorm is a Remote Shuffle Service, and provides the capability for Apache Spark applic...
    Tencent What is Firestorm Firestorm is a Remote Shuffle Service, and provides the capability for Apache Spark applications to store shuffle data on remote ser
     
    Machine Learning
    21
    React Native On-Device Machine Learning w/ Google ML Kit
    a7med-mahmoud React Native ML Kit React Native On-Device Machine Learning w/ Google ML Kit Supported Modules Module Android iOS Image Labeling ✅ ✅ Identify Language
     
    Machine Learning
    11
    Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. ...
    Qbeast-io Explore the Qbeast-spark docs >> See a notebook example >> Slack • Medium • Website Qbeast Spark extension is a data lakehouse enhancement that enable
     
    Machine Learning
    1k
    EGAD is an open-source Java package to automatically detect anomalies in large scale time-...
    yahoo A Java package to automatically detect anomalies in large scale time-series data
     
    Machine Learning
    20
    Machine coding - leetcode LLD (coding blox)
    hocyadav leetcode-lld-flipkart-coding-blox Machine coding - leetcode LLD (coding blox) My Approach : https://leetcode.com/discuss/interview-question/object-ori
     
    Machine Learning
    141
    The purpose of this project is to provide an API for manipulating time series on top of Ap...
    databrickslabs The purpose of this project is to provide an API for manipulating time series on top of Apache Spark. Functionality includes featurization using lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, and downsampling & interpolation. This has been tested on TB-scale of historical data and is unit tested for quality purposes.
     
    Machine Learning
    13
    The Internals of Spark on Kubernetes
    jaceklaskowski The Internals of Spark on Kubernetes Online Book
     
    Machine Learning
    693
    KotlinDL: High-level Deep Learning Framework written in Kotlin and inspired by Keras
    JetBrains KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood it is using TensorFlow Java API. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras models for inference, and leveraging transfer learning for tweaking existing pre-trained models to your tasks.
     
    Machine Learning
    350
    Dagli is a java machine learning framework
    linkedin Dagli is a machine learning framework that makes it easy to write bug-resistant, readable, efficient, maintainable and trivially deployable models in Java 9+ (and other JVM languages).
     
    Machine Learning
    65
    Mario AI framework is a framework for using AI methods with a version of Super Mario Bros.
    amidos2006 This is an updated version for the Mario AI Framework. As the first version was released in 2009, this is the tenth anniversary edition, integrating features from all previous versions and adding several new features.
     
    Machine Learning
    984
    Tribuo - A Java machine learning library
    oracle Tribuo is a machine learning library in Java that provides multi-class classification, regression, clustering, anomaly detection and multi-label classification. Tribuo provides implementations of popular ML algorithms and also wraps other libraries to provide a unified interface.
     
    Machine Learning
    34
    CTR prediction models based on spark(LR，FM、XGBoost、XGBoostLR、XGBoostFM)
    JeemyJohn Spark-ctr-models CTR prediction models based on spark. Easy to use and we realized most common models for CTR prediction. The most difference is that we not only implement model trains，but also make it easy to parse the trained m