Code for Java Deep Learning Cookbook
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Updated
Oct 13, 2020 - Java
Reinforcement learning is a machine learning paradigm focused on sequential decision-making, in which an autonomous agent learns optimal behavior by interacting with a dynamic environment to maximize cumulative reward signals.
Code for Java Deep Learning Cookbook
Train a neural network to PvP in Old School RuneScape using reinforcement learning.
A minecraft mod which aims to add a "second player" into the game which will actually be intelligent.
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.
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
[DESAFIO] ¿Cómo hacer que una computadora ( inteligencia artificial ) juegue mejor que un humano al truco? El Truco es un juego de cartas Argentino popularmente jugado en el todo el país y el cono sur. Es un juego de estrategia competitivo basado en turnos, de estados finitos e información incompleta, lo cúal quiere decir que los jugadores basar…
Java Agent Based Modelling toolkit
Repo with code for Ludii's built-in AIs.
py4j gateway for Cloud Sim Plus framework
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
SANNet Neural Network Framework
基于强化学习的云计算虚拟机放置
reinforcement learning algorithms from the book by Sutton and Barto
Framework for integrate BDI agents and Reinforcement Learning.