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INFOCOM
2008
IEEE
15 years 3 months ago
Making Large Scale Deployment of RCP Practical for Real Networks
—We recently proposed the Rate Control Protocol (RCP) as a way to minimize download times (or flow-completion times). Simulations suggest that if RCP were widely deployed, downl...
Chia-Hui Tai, Jiang Zhu, Nandita Dukkipati
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
15 years 2 months ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...
AGENTS
1999
Springer
15 years 1 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
SIGGRAPH
1998
ACM
15 years 1 months ago
Progressive Forest Split Compression
In this paper we introduce the Progressive Forest Split (PFS) representation, a new adaptive refinement scheme for storing and transmitting manifold triangular meshes in progress...
Gabriel Taubin, André Guéziec, Willi...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 1 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen