Search Results for "q-learning" - Page 5
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130 programs for "q-learning" with 2 filters applied:
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JSim8086 is platform-independent Assembly Language Simulator of the Intel 8086 CPU. It was designed to be a learning tool (CAL) for first year Computing students who are learning Computer Systems Organisation and Assembly Programming.
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jversim is a traffic simulator. Simulated networks can have one- or two way roads, destinations and simple crossroads. It shows a graphical simulation and problematic areas. It can be used as a toy or for learning about discrete simulations.
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BabyTALK is to add another brick in the wall of natural languages learning. The baby needs to structure a corpus of texts when his tutor points and talks about a particular part of the corpus. The baby is also to describe any selected part of the corpus.
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ABSim is an Agent-Object-Relationship (AOR) simulation system based on a Java program library. The development of ABSim has terminated. Its successor is <a href="http://oxygen.informatik.tu-cottbus.de/aor/?q=node/2">AOR-JSim </a>
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Q++ is a cross platform C++ template library used for simulating quantum computation. Its purpose is to allow testing of quantum algorithms by providing a quicker way to create programs compiled for speed.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.
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qsh is a shell for any operating system. It is coded in java so it inherits the pros and cons of java. It is in a very nascent stage, but all the regular commands work: Directory navigation, file tasks etc.
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CABLE (Computer Algebra Based Learning and Evaluation) is an online mathematical assessment tool for use with an open source computer algebra system.
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WordFreak is a java-based linguistic annotation tool designed to support human, and automatic annotation of linguistic data as well as employ active-learning for human correction of automatically annotated data.
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The TreeQ package is a set of C-language applications that implement a automatic machine learning algorithm based on a tree-structured classifier. This approach is particularly effective for high-dimensional continuous data such as audio and video.
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Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
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JUDGE (Java Utility for Document Genre Eduction) features automatic classification and clustering of documents, optionally as a webservice. The program is written entirely in Java and makes use of the Weka machine learning toolkit.
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HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
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SimAlgPro - it is a tool to simulate the main algorithms for processor planning. to contribute to the learning process. It allows visualize of interactive form the algorithm application and results.
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Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly.
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An electronic Periodic Table of the Elements in German language (but translations may follow) made espiacially for pupils in the first years of learning chemistry.
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Emily is a friendly name for the Machine Learning Environment (MLE). This project is at an early stage of development, and no alpha code is yet available.
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ITAS puts a human user in the place of a Robocup agent by providing a visual display of the agent's environment and an interface for controlling the agent. It also generates a log of the user's environment and actions for use in machine learning.
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LearnML is a XML based markup language to put learning materials in the web. Based on a simple syntax, LearnML documents can be transformed to any kind of web page (HTML, XHTML) or (printable) PDF document.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
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The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.
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AraRooter
Find Arabic Root Word
Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy. -
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Supertagger
Software for assigning supertags.
Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.