46 search results - page 7 / 10 » Predicting the expected behavior of agents that learn about ... |
ATAL
2011
Springer
12 years 6 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
ATAL
2003
Springer
13 years 12 months ago
2003
Springer
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
AAAI
1996
13 years 8 months ago
1996
We describe a framework for robot navigation that exploits the continuity of image sequences. Tracked visual features both guide the robot and provide predictive information about...
ICMI
2009
Springer
14 years 1 months ago
2009
Springer
One of many skills required to engage properly in a conversation is to know the appropiate use of the rules of engagement. In order to engage properly in a conversation, a virtual...
CIA
2007
Springer
14 years 27 days ago
2007
Springer
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...