66 search results - page 12 / 14 » Learning to Cope with Critical Situations - An Agent based A... |
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
AGENTS
2001
Springer
14 years 7 hour ago
2001
Springer
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...
EAAI
2008
13 years 7 months ago
2008
Multi-agent systems allow the simulation of complex phenomena that cannot easily be described analytically. Multi-agent approaches are often based on coordinating agents whose act...
ATAL
2003
Springer
14 years 22 days ago
2003
Springer
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...