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» Generalizing Plans to New Environments in Relational MDPs
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LAMAS
2005
Springer
15 years 5 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
15 years 4 months 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»
15 years 3 months 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
15 years 5 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»
14 years 9 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