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INFOCOM
2008
IEEE
16 years 3 days 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 10 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 10 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 10 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 9 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