Showing 4 open source projects for "java code game"

View related business solutions
  • Modernize Your Lab with the #1 Rated LIMS Icon
    Modernize Your Lab with the #1 Rated LIMS

    Labs that need a powerful LIMS system

    Nothing is more critical to a lab’s success than the quality, security, and traceability of samples. The Lockbox LIMS system provides robust sample management functionality to laboratory professionals, giving them full visibility on every aspect of a sample’s journey, from accessioning to long-term storage.
    Learn More
  • Propel Software: Product Value Management Platform for Manufacturers Icon
    Propel Software: Product Value Management Platform for Manufacturers

    For modern product companies that need to connect product and commercial teams successfully

    Propel is a cloud-native Product Value Management platform that unifies PLM, QMS, and PIM in one connected system, giving manufacturers complete visibility and control across the entire product lifecycle. It provides a single source of truth for all product data, streamlines change management, strengthens quality and compliance processes, and accelerates time-to-market by eliminating the silos and manual steps that slow teams down.
    Learn More
  • 1
    Project Malmo

    Project Malmo

    A platform for Artificial Intelligence experimentation on Minecraft

    ...The Malmo platform is a sophisticated AI experimentation platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence. The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with.
    Downloads: 7 This Week
    Last Update:
    See Project
  • 2
    The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit: http://search.maven.org/#search|ga|1|teachingbox FOR DEVELOPERS: 1) If you use Apache Maven, just add the following dependency to your pom.xml: <dependency> <groupId>org.sf.teachingbox</groupId> <artifactId>teachingbox-core</artifactId> <version>1.2.3</version> </dependency> 2) If you want to check out the most recent source-code: git clone https://git.code.sf.net/p/teachingbox/core teachingbox-core Documentation: https://sourceforge.net/p/teachingbox/documentation/HEAD/tree/trunk/manual/
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Ms. Pac-Man Framework

    Ms. Pac-Man Framework

    Using reinforcement learning with relative input to train Ms. Pac-Man

    This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA. The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Assembled is the only unified platform for staffing and managing your human and AI support team. Icon
    Assembled is the only unified platform for staffing and managing your human and AI support team.

    AI for world-class support operations

    Assembled is the only platform that unifies AI agents and intelligent workforce management to power fast and flexible support operations. Built for scale, we help teams automate over 50% of customer interactions, forecast with 90%+ accuracy, and optimize staffing across in-house and BPO teams. Orchestrate every chat, email, or call, balancing workloads between human and AI agents in real time — without sacrificing quality or control. Trusted by Stripe, Canva, and Robinhood, Assembled transforms support from a cost center into a strategic advantage. Our Workforce and Vendor Management tools connect forecasting, scheduling, and performance for smarter staffing decisions. AI Agents automate conversations across channels with your workflows and brand voice. AI Copilot empowers agents with real-time guidance, suggested replies, and one-click actions for faster, higher-quality resolutions.
    Learn More
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB