473 search results - page 94 / 95 » Programmable Reinforcement Learning Agents |
UAI
2008
13 years 10 months ago
2008
A graphical multiagent model (GMM) represents a joint distribution over the behavior of a set of agents. One source of knowledge aboutagents'behaviormaycomefromgametheoretic ...
JETAI
2002
13 years 8 months ago
2002
We study decision-theoretic planning or reinforcement learning in the presence of traps such as steep slopes for outdoor robots or staircases for indoor robots. In this case, achi...
CIMCA
2008
IEEE
14 years 3 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
ATAL
2009
Springer
14 years 3 months ago
2009
Springer
Sensor nodes are often used to collect data from locations inaccessible or hazardous for humans. As they are not under normal supervision, these nodes are particularly susceptible...
ICRA
2003
IEEE
14 years 1 months ago
2003
IEEE
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...