81 search results - page 3 / 17 » Chess Neighborhoods, Function Combination, and Reinforcement... |
AIPS
2006
14 years 11 months ago
2006
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Reminder systems support people with impaired prospective memory and/or executive function, by providing them with reminders of their functional daily activities. We integrate tem...
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
AUSAI
2005
Springer
15 years 3 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
ESANN
2006
14 years 11 months ago
2006
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...