4817 search results - page 368 / 964 » Learning Models of Intelligent Agents |
158
click to vote
AAAI
2006
15 years 5 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
133
click to vote
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
While the class of congestion games has been thoroughly studied in the multi-agent systems literature, settings with incomplete information have received relatively little attenti...
141
Voted
ATAL
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassin...
123
click to vote
GAMEON
2007
15 years 5 months ago
2007
An advanced Business Game is presented in the paper, built on the methodology of System Dynamics. It can be used for cognitive learning and knowledge transmission in schools and U...
120
click to vote
AAMAS
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...