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» Control-driven mapping and planning
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ACIVS
2006
Springer
14 years 5 months ago
Visibility of Point Clouds and Mapping of Unknown Environments
Abstract. We present an algorithm for interpolating the visible portions of a point cloud that are sampled from opaque objects in the environment. Our algorithm projects point clou...
Yanina Landa, Richard Tsai, Li-Tien Cheng
AMAI
2004
Springer
14 years 4 months ago
A Framework for Sequential Planning in Multi-Agent Settings
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Piotr J. Gmytrasiewicz, Prashant Doshi
RSS
2007
176views Robotics» more  RSS 2007»
14 years 12 days ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
SOSP
2009
ACM
14 years 7 months ago
Distributed aggregation for data-parallel computing: interfaces and implementations
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
Yuan Yu, Pradeep Kumar Gunda, Michael Isard
ATAL
2009
Springer
14 years 5 months ago
Lossless clustering of histories in decentralized POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....