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FECS
2006
170views Education» more  FECS 2006»
15 years 3 months ago
Multi-Paradigm Approach for Teaching Programming
: Selecting an appropriate programming paradigm in which to teach the first programming and problem solving course in a Computer Science undergraduate program has been discussed ex...
Laxmi Gewali, John T. Minor
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
15 years 8 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...
AI
1998
Springer
15 years 6 months ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih
JMLR
2006
112views more  JMLR 2006»
15 years 1 months ago
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
Andrea Passerini, Paolo Frasconi, Luc De Raedt
CCIA
2005
Springer
15 years 7 months ago
Direct Policy Search Reinforcement Learning for Robot Control
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
Andres El-Fakdi, Marc Carreras, Narcís Palo...