402 search results - page 67 / 81 » Maximal Introspection of Agents |
ATAL
2010
Springer
14 years 12 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
ACSC
2004
IEEE
15 years 2 months ago
2004
IEEE
Aglets is a mobile agent system that allows an agent to move with its code and execution state across the network to interact with other entities. Aglets utilizes Java RMI to supp...
AAAI
2010
15 years 8 days ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
ATAL
2010
Springer
14 years 12 months ago
2010
Springer
We introduce a novel case study in which a group of miniaturized robots screen an environment for undesirable agents, and destroy them. Because miniaturized robots are usually end...
NECO
2007
14 years 10 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...