312 search results - page 33 / 63 » Learning Partially Observable Deterministic Action Models |
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper puts forward an approach for a mobile robot to recognize the human’s manipulative actions from different single camera views. While most of the related work in act...
HICSS
2003
IEEE
14 years 28 days ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
ML
1998
ACM
13 years 7 months ago
1998
ACM
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
FLAIRS
2001
13 years 9 months ago
2001
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...