Chained schedules of avoidance: Reinforcement within and by avoidance situations
نویسندگان
چکیده
منابع مشابه
Obstacle Avoidance through Reinforcement Learning
A method is described for generating plan-like, reflexive, obstacle avoidance behaviour in a mobile robot. The experiments reported here use a simulated vehicle with a primitive range sensor. Avoidance behaviour is encoded as a set of continuous functions of the perceptual input space. These functions are stored using CMACs and trained by a variant of Barto and Sutton's adaptive critic algorith...
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Reinforcement learning can enable complex, adaptive behavior to be learned automatically for autonomous robotic platforms. However, practical deployment of reinforcement learning methods must contend with the fact that the training process itself can be unsafe for the robot. In this paper, we consider the specific case of a mobile robot learning to navigate an a priori unknown environment while...
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In anxiety, maladaptive avoidance behavior provides for near-perfect controllability of potential threat. There has been little laboratory-based treatment research conducted on controllability as a contributing factor in the transition from adaptive to maladaptive avoidance. Here, we investigated for the first time whether partial reinforcement rate, or the reliability of avoidance at controlli...
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ژورنال
عنوان ژورنال: Journal of the Experimental Analysis of Behavior
سال: 1979
ISSN: 0022-5002
DOI: 10.1901/jeab.1979.32-399