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ICML
2001
IEEE
16 years 2 months ago
Off-Policy Temporal Difference Learning with Function Approximation
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
Doina Precup, Richard S. Sutton, Sanjoy Dasgupta
ICFEM
2009
Springer
15 years 8 months ago
Approximate Model Checking of PCTL Involving Unbounded Path Properties
Abstract. We study the problem of applying statistical methods for approximate model checking of probabilistic systems against properties encoded as PCTL formulas. Such approximate...
Samik Basu, Arka P. Ghosh, Ru He
FOCS
2003
IEEE
15 years 7 months ago
Approximation Algorithms for Orienteering and Discounted-Reward TSP
In this paper, we give the rst constant-factor approximationalgorithmfor the rooted Orienteering problem, as well as a new problem that we call the Discounted-Reward TSP, motivate...
Avrim Blum, Shuchi Chawla, David R. Karger, Terran...
INFOCOM
2009
IEEE
15 years 8 months ago
Delay-Optimal Opportunistic Scheduling and Approximations: The Log Rule
—This paper considers the design of opportunistic packet schedulers for users sharing a time-varying wireless channel from the performance and the robustness points of view. Firs...
Bilal Sadiq, Seung Jun Baek, Gustavo de Veciana
ISM
2008
IEEE
110views Multimedia» more  ISM 2008»
15 years 8 months ago
A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy
Many multimedia applications rely on the computation of logarithms, for example, when estimating log-likelihoods for Gaussian Mixture Models. Knowing of the demand to compute loga...
Oriol Vinyals, Gerald Friedland