Sciweavers

AI
2011
Springer
13 years 6 months ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
AAMAS
2010
Springer
13 years 12 months ago
Modeling self-deception within a decision-theoretic framework
Computational modeling of human belief maintenance and decision-making processes has become increasingly important for a wide range of applications. In this paper, we present a fra...
Jonathan Y. Ito, David V. Pynadath, Stacy C. Marse...
AIPS
2010
14 years 1 days ago
A New Approach to Conformant Planning Using CNF*
In this paper, we develop a heuristic, progression based conformant planner, called CNF, which represents belief states by a special type of CNF formulae, called CNF-states. We de...
Son Thanh To, Tran Cao Son, Enrico Pontelli
AIPS
2009
14 years 29 days ago
A Conformant Planner with Explicit Disjunctive Representation of Belief States
This paper describes a novel and competitive complete conformant planner. Key to the enhanced performance is an efficient encoding of belief states as disjunctive normal form form...
Son Thanh To, Enrico Pontelli, Tran Cao Son
UAI
2000
14 years 1 months ago
Value-Directed Belief State Approximation for POMDPs
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might ap...
Pascal Poupart, Craig Boutilier
UAI
1998
14 years 1 months ago
Tractable Inference for Complex Stochastic Processes
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
Xavier Boyen, Daphne Koller
AAAI
2000
14 years 1 months ago
Back to the Future for Consistency-Based Trajectory Tracking
Given a model of a physical process and a sequence of commands and observations received over time, the task of an autonomous controller is to determine the likely states of the p...
James Kurien, P. Pandurang Nayak
UAI
2001
14 years 1 months ago
Vector-space Analysis of Belief-state Approximation for POMDPs
We propose a new approach to value-directed belief state approximationfor POMDPs. The valuedirected model allows one to choose approximation methods for belief state monitoringtha...
Pascal Poupart, Craig Boutilier
IJCAI
2003
14 years 1 months ago
Logical Filtering
Filtering denotes any method whereby an agent updates its belief state—its knowledge of the state of the world—from a sequence of actions and observations. In logical filterin...
Eyal Amir, Stuart J. Russell
AAAI
2004
14 years 1 months ago
Conservative Belief Revision
A standard intuition underlying traditional accounts of belief change is the principle of minimal change. In this paper we introduce a novel account of belief change in which the ...
James P. Delgrande, Abhaya C. Nayak, Maurice Pagnu...