1512 search results - page 238 / 303 » Qualitative reinforcement learning |
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...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
ISMAR
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper proposes an approach to mixed environment training of manual tasks requiring concurrent use of psychomotor and cognitive skills. To train concurrent use of both skill s...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
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 ...