Code for Java Deep Learning Cookbook
-
Updated
Oct 13, 2020 - Java
Code for Java Deep Learning Cookbook
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
Recommender system based on Flink and Reinforcement Learning
Using reinforcement learning to train FlappyBird.
Train a neural network to PvP in Old School RuneScape using reinforcement learning.
SkinnerDB is an analytical database management system. It uses adaptive processing and reinforcement learning to find near-optimal join orders.
RLCheck, QuickCheck + Reinforcement Learning to produce more valid inputs.
Java Deep Learning Cookbook, published by Packt
Java Agent Based Modelling toolkit
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
Repo with code for Ludii's built-in AIs.
py4j gateway for Cloud Sim Plus framework
SANNet Neural Network Framework
Demo of java-reinforcement-learning library using flappy bird
reinforcement learning algorithms from the book by Sutton and Barto
Othello game and my AI practicing platform in Java
CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes
Framework for integrate BDI agents and Reinforcement Learning.
Add a description, image, and links to the reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning topic, visit your repo's landing page and select "manage topics."