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» Complexity of Planning with Partial Observability
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IJCAI
2001
13 years 10 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen
MFCS
2010
Springer
13 years 7 months ago
Parity Games with Partial Information Played on Graphs of Bounded Complexity
Abstract. We address the strategy problem for parity games with partial information and observable colors, played on finite graphs of bounded graph complexity. We consider several...
Bernd Puchala, Roman Rabinovich
IJRR
2011
218views more  IJRR 2011»
13 years 4 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
AAAI
2010
13 years 10 months ago
Goal-Driven Autonomy in a Navy Strategy Simulation
Modern complex games and simulations pose many challenges for an intelligent agent, including partial observability, continuous time and effects, hostile opponents, and exogenous ...
Matthew Molineaux, Matthew Klenk, David W. Aha
AAAI
1996
13 years 10 months ago
Design and Implementation of a Replay Framework Based on a Partial Order Planner
In this paper we describe the design and implementation of the derivation replay framework, dersnlp+ebl (Derivational snlp+ebl), which is based within a partial order planner. der...
Laurie H. Ihrig, Subbarao Kambhampati