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    AAAI
    1997
    133views Intelligent Agents» more  AAAI 1997»
    Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
    13 years 9 months ago
    Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
    Download  www.cs.pitt.edu
    Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
    Milos Hauskrecht
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    JMLR
    2006
    150views more  JMLR 2006»
    Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
    13 years 7 months ago
    Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
    Download  jmlr.csail.mit.edu
    Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
    Olvi L. Mangasarian
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    ML
    2002
    ACM
    168views Machine Learning» more  ML 2002»
    On Average Versus Discounted Reward Temporal-Difference Learning
    13 years 7 months ago
    On Average Versus Discounted Reward Temporal-Difference Learning
    Download  web.mit.edu
    We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
    John N. Tsitsiklis, Benjamin Van Roy
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    AUTOMATICA
    1999
    119views more  AUTOMATICA 1999»
    Robust L2-gain control for nonlinear systems with projection dynamics and input constraints: an example from traffic control
    13 years 7 months ago
    Robust L2-gain control for nonlinear systems with projection dynamics and input constraints: an example from traffic control
    Download  www.math.vt.edu
    We formulate the L2-gain control problem for a general nonlinear, state-space system with projection dynamics in the state evolution and hard constraints on the set of admissible ...
    Joseph A. Ball, Martin V. Day, Tungsheng Yu, Pushk...
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    SIAMCO
    2002
    121views more  SIAMCO 2002»
    Consistent Approximations and Approximate Functions and Gradients in Optimal Control
    13 years 7 months ago
    Consistent Approximations and Approximate Functions and Gradients in Optimal Control
    Download  www.ann.jussieu.fr
    As shown in [7], optimal control problems with either ODE or PDE dynamics can be solved efficiently using a setting of consistent approximations obtained by numerical discretizati...
    Olivier Pironneau, Elijah Polak
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