513 search results - page 80 / 103 » Metric learning for reinforcement learning agents |
89
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
105
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AAAI
2006
15 years 1 months ago
2006
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
106
Voted
JAIR
2011
14 years 7 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
IVA
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Non-verbal communication, or “body language”, is a critical component in constructing believable virtual characters. Most often, body language is implemented by a set...
100
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AGI
2008
15 years 1 months ago
2008
One approach in pursuit of general intelligent agents has been to concentrate on the underlying cognitive architecture, of which Soar is a prime example. In the past, Soar has reli...