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334views
14 years 7 months ago
Rollout Sampling Approximate Policy Iteration
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
Christos Dimitrakakis, Michail G. Lagoudakis
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
14 years 3 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
14 years 1 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
INFOCOM
2006
IEEE
14 years 4 months ago
Evaluating Mobility Pattern Space Routing for DTNs
— Because a delay tolerant network (DTN) can often be partitioned, routing is a challenge. However, routing benefits considerably if one can take advantage of knowledge concerni...
Jeremie Leguay, Timur Friedman, Vania Conan
CDC
2009
IEEE
194views Control Systems» more  CDC 2009»
14 years 1 months ago
Robust tube-based MPC for constrained mobile robots under slip conditions
— This paper focuses on the design of a robust tube-based Model Predictive Control law for the control of constrained mobile robots. A time-varying trajectory tracking error mode...
Ramon Gonzalez, Mirko Fiacchini, Jose Luis Guzman,...