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AUTOMATICA
2007
124views more  AUTOMATICA 2007»
13 years 8 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
CORR
2011
Springer
188views Education» more  CORR 2011»
13 years 3 months ago
Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems
—In this paper we consider an interacting two-agent sequential decision-making problem consisting of a Markov source process, a causal encoder with feedback, and a causal decoder...
Siva K. Gorantla, Todd P. Coleman
AAAI
2006
13 years 10 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
NHM
2010
87views more  NHM 2010»
13 years 3 months ago
The coolest path problem
We introduce the coolest path problem, which is a mixture of two well-known problems from distinct mathematical fields. One of them is the shortest path problem from combinatorial ...
Martin Frank, Armin Fügenschuh, Michael Herty...
ATAL
2007
Springer
14 years 2 months ago
Graphical models for online solutions to interactive POMDPs
We develop a new graphical representation for interactive partially observable Markov decision processes (I-POMDPs) that is significantly more transparent and semantically clear t...
Prashant Doshi, Yifeng Zeng, Qiongyu Chen