281 search results - page 35 / 57 » Learning to Apply Theory of Mind |
JIRS
2000
13 years 7 months ago
2000
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
FOCS
2002
IEEE
14 years 16 days ago
2002
IEEE
We give the first polynomial time algorithm to learn any function of a constant number of halfspaces under the uniform distribution on the Boolean hypercube to within any constan...
SAGA
2001
Springer
14 years 2 min ago
2001
Springer
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
AAMAS
2006
Springer
13 years 7 months ago
2006
Springer
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...