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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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CEC
2009
IEEE
15 years 4 months ago
How robot morphology and training order affect the learning of multiple behaviors
— Automatically synthesizing behaviors for robots with articulated bodies poses a number of challenges beyond those encountered when generating behaviors for simpler agents. One ...
Joshua S. Auerbach, Josh C. Bongard
CGF
2008
140views more  CGF 2008»
14 years 9 months ago
Interactive Glossy Reflections using GPU-based Ray Tracing with Adaptive LOD
We present an interactive GPU-based algorithm for accurately rendering high-quality, dynamic glossy reflection effects from both HDR environment maps and local scene objects. Our ...
Xuan Yu, Rui Wang 0003, Jingyi Yu
ATAL
2009
Springer
14 years 10 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso
AGENTS
2000
Springer
15 years 1 months ago
Adaptivity in agent-based routing for data networks
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
David Wolpert, Sergey Kirshner, Christopher J. Mer...
80
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SECON
2007
IEEE
15 years 3 months ago
INPoD: In-Network Processing over Sensor Networks based on Code Design
—In this paper, we develop a joint Network Coding (NC)-channel coding error-resilient sensor-network approach that performs In-Network Processing based on channel code Design (IN...
Kiran Misra, Shirish S. Karande, Hayder Radha