Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Probabilistic Model of Action for Least-Commitment Planning with
  Information Gather   AI planning algorithms have addressed the problem of generating sequences of
operators that achieve some input goal, usually assuming that the planning
agent has perfect control over and information about the world. Relaxing these
assumptions requires an extension to the action representation that allows
reasoning both about the changes an action makes and the information it
provides. This paper presents an action representation that extends the
deterministic STRIPS model, allowing actions to have both causal and
informational effects, both of which can be context dependent and noisy. We
also demonstrate how a standard least-commitment planning algorithm can be
extended to include informational actions and contingent execution.

27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin