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» Using model knowledge for learning inverse dynamics
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134
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ALS
2003
Springer
15 years 9 months ago
Towards a Four Factor Theory of Anticipatory Learning
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
Mark Witkowski
162
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Factor graph-based structural equilibria in dynamical games
Correlated equilibria are a generalization of Nash equilibria that permit agents to act in a correlated manner and can therefore, model learning in games. In this paper we define...
Liming Wang, Vikram Krishnamurthy, Dan Schonfeld
121
Voted
ROBOCUP
2005
Springer
112views Robotics» more  ROBOCUP 2005»
15 years 9 months ago
Velocity Control of an Omnidirectional RoboCup Player with Recurrent Neural Networks
In this paper, a recurrent neural network is used to develop a dynamic controller for mobile robots. The advantage of the control approach is that no knowledge about the robot mode...
Mohamed Oubbati, Michael Schanz, Thorsten Buchheim...
131
Voted
CORR
2010
Springer
119views Education» more  CORR 2010»
15 years 3 months ago
Dynamic Policy Programming
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
Mohammad Gheshlaghi Azar, Hilbert J. Kappen
126
Voted
ECTEL
2007
Springer
15 years 9 months ago
Reasoning-Based Curriculum Sequencing and Validation: Integration in a Service-Oriented Architecture
Abstract. We present a service-oriented personalization system, set in an educational framework, based on a semantic annotation of courses, given at a knowledge level (what the cou...
Matteo Baldoni, Cristina Baroglio, Ingo Brunkhorst...