250 search results - page 5 / 50 » Learning action effects in partially observable domains |
TSMC
2010
13 years 27 days ago
2010
Traditional planning assumes reachability goals and/or full observability. In this paper, we propose a novel solution for safety and reachability planning with partial observabilit...
ATAL
2010
Springer
13 years 7 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 ...
AAAI
2000
13 years 7 months ago
2000
We propose an epistemic dynamic logic EDL able to represent the interactions between action and knowledge that are fundamental to planning under partial observability. EDL enables...
ECAI
2004
Springer
13 years 11 months ago
2004
Springer
Controlling the sensing of an environment by an agent has been accepted as necessary for effective operation within most practical domains. Usually, however, agents operate in par...
IJCAI
2007
13 years 7 months ago
2007
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...