949 search results - page 69 / 190 » Can Doxastic Agents Learn |
93
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
We describe how to take a set of interaction traces produced by different pairs of players in a two-player repeated game, and combine them into a composite strategy. We provide an...
132
Voted
AAAI
2006
15 years 2 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
107
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AAAI
2000
15 years 2 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
122
Voted
AR
2008
15 years 27 days ago
2008
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
107
Voted
IADIS
2008
15 years 2 months ago
2008
In this paper we present a natural language virtual tutoring system that has been developed to assist students during the learning process. For this purpose, we have used several ...