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ESANN
2006
15 years 6 months ago
A multiagent architecture for concurrent reinforcement learning
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
Victor Uc Cetina
NIPS
1994
15 years 6 months ago
Phase-Space Learning
In this paper, we present an improved version of the online phase-space learning algorithm of Tsung and Cottrell (1995), called ARTISTE (Autonomous Real-TIme Selection of Training...
Fu-Sheng Tsung, Garrison W. Cottrell
ICMLA
2010
15 years 2 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
FLAIRS
2007
15 years 7 months ago
Applying Heuristic Evaluation to Human-Robot Interaction Systems
Though attention to evaluating human-robot interfaces has increased in recent years, there are relatively few reports of using evaluation tools during the development of humanrobo...
Edward Clarkson, Ronald C. Arkin
146
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IJCNN
2006
IEEE
15 years 11 months ago
Biologically Inspired KFLANN Place Fields for Robot Localization
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
Alex Leng Phuan Tay