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» Comparing the Power of Robots
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ICMLA
2008
14 years 11 months ago
A Predictive Model for Imitation Learning in Partially Observable Environments
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Abdeslam Boularias
SAB
2004
Springer
198views Optimization» more  SAB 2004»
15 years 3 months ago
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
FPL
2005
Springer
115views Hardware» more  FPL 2005»
15 years 3 months ago
Statistical Power Estimation for FPGA
This article presents a power estimation tool integrated with an FPGA design flow. It is able to estimate total and individual-node average power consumption for combinational blo...
Elias Todorovich, Fabian Angarita, Javier Valls, E...
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
15 years 2 months ago
Enhanced Q-learning algorithm for dynamic power management with performance constraint
- This paper presents a novel power management techniques based on enhanced Q-learning algorithms. By exploiting the submodularity and monotonic structure in the cost function of a...
Wei Liu, Ying Tan, Qinru Qiu
ATAL
2009
Springer
15 years 4 months ago
Of robot ants and elephants
Investigations of multi-robot systems often make implicit assumptions concerning the computational capabilities of the robots. Despite the lack of explicit attention to the comput...
Asaf Shiloni, Noa Agmon, Gal A. Kaminka