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    » MDPs with Non-Deterministic Policies
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    ICML
    2003
    IEEE
    121views Machine Learning» more  ICML 2003»
    Planning in the Presence of Cost Functions Controlled by an Adversary
    14 years 8 months ago
    Planning in the Presence of Cost Functions Controlled by an Adversary
    Download  www.cs.cmu.edu
    We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
    H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
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    WISE
    2002
    Springer
    111views Internet Technology» more  WISE 2002»
    An MDP-based Peer-to-Peer Search Server Network
    14 years 11 days ago
    An MDP-based Peer-to-Peer Search Server Network
    Download  www.cse.ust.hk
    A distributed search system consists of a large number of autonomous search servers logically connected in a peerto-peer network. Each search server maintains a local index of a c...
    Yipeng Shen, Dik Lun Lee
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    IJCAI
    2003
    118views Artificial Intelligence» more  IJCAI 2003»
    Simultaneous Adversarial Multi-Robot Learning
    13 years 8 months ago
    Simultaneous Adversarial Multi-Robot Learning
    Download  www.cs.cmu.edu
    Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
    Michael H. Bowling, Manuela M. Veloso
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    JAIR
    2006
    101views more  JAIR 2006»
    Resource Allocation Among Agents with MDP-Induced Preferences
    13 years 7 months ago
    Resource Allocation Among Agents with MDP-Induced Preferences
    Download  www.jair.org
    Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute acti...
    Dmitri A. Dolgov, Edmund H. Durfee
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    ICML
    1999
    IEEE
    168views Machine Learning» more  ICML 1999»
    Least-Squares Temporal Difference Learning
    14 years 8 months ago
    Least-Squares Temporal Difference Learning
    Download  www.research.rutgers.edu
    Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
    Justin A. Boyan
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