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ICRA
2008
IEEE
169views Robotics» more  ICRA 2008»
14 years 2 months ago
Sparse incremental learning for interactive robot control policy estimation
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
Daniel H. Grollman, Odest Chadwicke Jenkins
IJCNN
2006
IEEE
14 years 1 months ago
Neural Network Control of Spark Ignition Engines with High EGR Levels
— Research has shown substantial reductions in the oxides of nitrogen (NOx) concentrations by using 10% to 25% exhaust gas recirculation (EGR) in spark ignition (SI) engines [1]....
Atmika Singh, Jonathan Blake Vance, Brian C. Kaul,...
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 7 months ago
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
This paper is concerned with designing self-driven fitness functions for Embedded Evolutionary Robotics. The proposed approach considers the entropy of the sensori-motor stream gen...
Pierre Delarboulas, Marc Schoenauer, Michèl...
ECML
2006
Springer
13 years 11 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary path planner for UAVs in realistic environments
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the a...
Jesús Manuel de la Cruz, Eva Besada-Portas,...