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REVIEW : Planning To make your thinking more concrete, use a real problem to ground your discussion. –Develop a plan for a person who is getting out of.
REVIEW : Planning To make your thinking more concrete, use a real problem to ground your discussion. –Develop a plan for a person who is getting out of.
213 views
Language for planning problems STRIPS: STanford Research Institute Problem Solver world described by logical conditions state as conjunction of positive.
Language for planning problems STRIPS: STanford Research Institute Problem Solver world described by logical conditions state as conjunction of positive.
229 views
Milkymist System-on-Chip at Open Source Hardware User Group 8
Milkymist System-on-Chip at Open Source Hardware User Group 8
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2015 Motion Planning Graph Search
2015 Motion Planning Graph Search
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Register Usage Keep as many values in registers as possible Register assignment Register allocation Popular techniques – Local vs. global – Graph coloring.
Register Usage Keep as many values in registers as possible Register assignment Register allocation Popular techniques – Local vs. global – Graph coloring.
215 views
SLIP 2008, Newcastle Revisiting Fidelity: A Case of Elmore-based Y-routing Trees Tuhina Samanta*, Prasun Ghosal*, Hafizur Rahaman* and Parthasarathi Dasgupta†
SLIP 2008, Newcastle Revisiting Fidelity: A Case of Elmore-based Y-routing Trees Tuhina Samanta*, Prasun Ghosal*, Hafizur Rahaman* and Parthasarathi Dasgupta†
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Scalability of Planning Before, planning algorithms could synthesize about 6 – 10 action plans in minutes Significant scale-up in the last 6-7 years.
Scalability of Planning Before, planning algorithms could synthesize about 6 – 10 action plans in minutes Significant scale-up in the last 6-7 years.
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CS267 L14 Graph Partitioning I.1 Demmel Sp 1999 CS 267 Applications of Parallel Computers Lecture 14: Graph Partitioning - I James Demmel demmel/cs267_Spr99.
CS267 L14 Graph Partitioning I.1 Demmel Sp 1999 CS 267 Applications of Parallel Computers Lecture 14: Graph Partitioning - I James Demmel demmel/cs267_Spr99.
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Source-Destination Routing Optimal Strategies Eric Chi EE228a, Fall 2002 Dept. of EECS, U.C. Berkeley.
Source-Destination Routing Optimal Strategies Eric Chi EE228a, Fall 2002 Dept. of EECS, U.C. Berkeley.
217 views
Temporal Planning action models Using PDDL2.1 standard how to model the search Progression; Regression; PO planning how to extract good heuristics.
Temporal Planning action models Using PDDL2.1 standard how to model the search Progression; Regression; PO planning how to extract good heuristics.
216 views
1 © Copyright 2003, Blue Martini Software. San Mateo California, USA Deriving Key Insights from Blue Martini Business Intelligence Ronny Kohavi Vice President,
1 © Copyright 2003, Blue Martini Software. San Mateo California, USA Deriving Key Insights from Blue Martini Business Intelligence Ronny Kohavi Vice President,
216 views