132 search results - page 21 / 27 » Rewarding Behaviors |
109
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AAAI
2000
15 years 3 months ago
2000
Compelling synthetic characters must behave in ways that reflect their past experience and thus allow for individual personalization. We therefore need a method that allows charac...
122
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AGI
2011
14 years 5 months ago
2011
We present an architectural approach to learning problem solving skills from demonstration, using internal models to represent problem-solving operational knowledge. Internal forwa...
117
Voted
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
109
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
140
Voted
ICML
1995
IEEE
16 years 2 months ago
1995
IEEE
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...