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    ESANN
    2008
    123views Neural Networks» more  ESANN 2008»
    Safe exploration for reinforcement learning
    13 years 9 months ago
    Safe exploration for reinforcement learning
    Download  ahans.de
    In this paper we define and address the problem of safe exploration in the context of reinforcement learning. Our notion of safety is concerned with states or transitions that can ...
    Alexander Hans, Daniel Schneegaß, Anton Maxi...
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    GRAPHICSINTERFACE
    2007
    111views Computer Graphics» more  GRAPHICSINTERFACE 2007»
    Design as traversal and consequences: an exploration tool for experimental designs
    13 years 9 months ago
    Design as traversal and consequences: an exploration tool for experimental designs
    Download  cgjennings.ca
    We present a design space explorer for the space of experimental designs. For many design problems, design decisions are determined by the consequences of the design rather than i...
    Christopher G. Jennings, Arthur E. Kirkpatrick
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    DLOG
    2004
    87views Automated Reasoning» more  DLOG 2004»
    OntoXpl: Exploration of OWL Ontologies
    13 years 9 months ago
    OntoXpl: Exploration of OWL Ontologies
    Download  sunsite.informatik.rwth-aachen.de
    This paper describes the OWL ontology explorer OntoXpl. It is available as a web server based on the tomcat architecture. Standard HTML browsers can be used to interact with OntoX...
    Volker Haarslev, Ying Lu 0003, Nematollaah Shiri
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    IJCAI
    1997
    113views Artificial Intelligence» more  IJCAI 1997»
    Exploration and Adaptation in Multiagent Systems: A Model-based Approach
    13 years 9 months ago
    Exploration and Adaptation in Multiagent Systems: A Model-based Approach
    Download  www.cs.technion.ac.il
    Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
    David Carmel, Shaul Markovitch
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    IJRR
    2008
    151views more  IJRR 2008»
    Trajectory Optimization using Reinforcement Learning for Map Exploration
    13 years 7 months ago
    Trajectory Optimization using Reinforcement Learning for Map Exploration
    Download  mapleleaf.csail.mit.edu
    Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
    Thomas Kollar, Nicholas Roy
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