48 search results - page 1 / 10 » Improving Value Function Approximation in Factored POMDPs by... |
98
Voted
ATAL
2008
Springer
15 years 7 days ago
2008
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
77
Voted
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
92
Voted
AAAI
2010
14 years 11 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
NIPS
2003
14 years 11 months ago
2003
Recent developments in grid-based and point-based approximation algorithms for POMDPs have greatly improved the tractability of POMDP planning. These approaches operate on sets of...
82
Voted
AAAI
2006
14 years 11 months ago
2006
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...