Caylus

Brought to you by: fteicht, infantes, ukuter

Last Update: 2016-06-06

Get an email when there's a new version of Caylus

A set of Markov Decision Process algorithms that are compatible with the 2008 International Probabilistic Planning Competition framework. Many well-known MDP algorithms as well as our RFF winner planner or our FSP* 2nd-ranked planner are available.

Project Activity

See All Activity >

Follow Caylus

Caylus Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Caylus!

Additional Project Details

Registered

2009-06-19

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Try It Free

Recommended Projects

Modular toolkit for Data Processing MDP
The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
GPlan - Gaurabda Planner
Impress vaishnava planner generator based on xml file of ISKCON GCal
Alchemy
Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation.
ITC07ExaminationTimetabling
A multi staged approach to the examination timetabling problem as described in the second International timetabling competition (ITC2007-2008)
Carroll Student Planner
Student planner for Carroll University.