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TSMC
2008
132views more  TSMC 2008»
14 years 10 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
ICCV
2011
IEEE
13 years 10 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
15 years 4 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
IROS
2008
IEEE
125views Robotics» more  IROS 2008»
15 years 4 months ago
Dynamic correlation matrix based multi-Q learning for a multi-robot system
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
Hongliang Guo, Yan Meng
HICSS
2005
IEEE
160views Biometrics» more  HICSS 2005»
15 years 3 months ago
Problem Based Learning and the Business School Environment
This paper attempts to create a research cycle for Problem Based Learning and in so doing help substantiate the use of PBL in business school environments. The paper starts with a...
Wm. Benjamin Martz Jr., Morgan M. Shepherd