4446 search results - page 39 / 890 » Learning Observer Agents |
96
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
AAAI
1998
15 years 2 months ago
1998
Research in belief revision has been dominated by work that lies firmly within the classic AGM paradigm, characterized by a well-known set of postulates governing the behavior of ...
123
Voted
ECML
2003
Springer
15 years 6 months ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
120
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...