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» Generalizing Plans to New Environments in Relational MDPs
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LAMAS
2005
Springer
14 years 2 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
COMPGEOM
2000
ACM
14 years 28 days ago
Fast computation of generalized Voronoi diagrams using graphics hardware
: We present a new approach for computing generalized Voronoi diagrams in two and three dimensions using interpolation-based polygon rasterization hardware. The input primitives ma...
Kenneth E. Hoff III, Tim Culver, John Keyser, Ming...
ECP
1997
Springer
128views Robotics» more  ECP 1997»
14 years 22 days ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
NSPW
2006
ACM
14 years 2 months ago
E-Prime for security: a new security paradigm
This paper details a true and striking paradigm shift: the use of E-Prime for (at least) user-centered security, organizational/enterprise security policies and informal security ...
Steven J. Greenwald
ICRA
2009
IEEE
100views Robotics» more  ICRA 2009»
13 years 6 months ago
Multi-robot plan adaptation by constrained minimal distortion feature mapping
We propose a novel method for multi-robot plan adaptation which can be used for adapting existing spatial plans of robotic teams to new environments or imitating collaborative spat...
Bálint Takács, Yiannis Demiris