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» Piecemeal Learning of an Unknown Environment
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ECAI
2006
Springer
15 years 1 months ago
Agents with Anticipatory Behaviors: To Be Cautious in a Risky Environment
This work presents some anticipatory mechanisms in an agent architecture, modeling affective behaviours as effects of surprise. Through experiment discussion, the advantages of bec...
Cristiano Castelfranchi, Rino Falcone, Michele Piu...
TSMC
2010
14 years 4 months ago
Interactive Teaching for Vision-Based Mobile Robots: A Sensory-Motor Approach
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...
Christophe Giovannangeli, Philippe Gaussier
85
Voted
ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
15 years 4 months ago
Learning tactic-based motion models with fast particle smoothing
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
Yang Gu, Manuela M. Veloso
COLT
1995
Springer
15 years 1 months ago
Exactly Learning Automata with Small Cover Time
We present algorithms for exactly learning unknown environments that can be described by deterministic nite automata. The learner performs a walk on the target automaton, where at...
Dana Ron, Ronitt Rubinfeld
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 7 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone