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» Feature Markov Decision Processes
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119
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IJCAI
2003
15 years 5 months ago
Automated Generation of Understandable Contingency Plans
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
Max Horstmann, Shlomo Zilberstein
111
Voted
IJCAI
2003
15 years 5 months ago
Modular self-organization for a long-living autonomous agent
The aim of this paper is to provide a sound framework for addressing a difficult problem: the automatic construction of an autonomous agent's modular architecture. We briefly...
Bruno Scherrer
119
Voted
IJCAI
2003
15 years 5 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
105
Voted
UAI
2004
15 years 5 months ago
Region-Based Incremental Pruning for POMDPs
We present a major improvement to the incremental pruning algorithm for solving partially observable Markov decision processes. Our technique targets the cross-sum step of the dyn...
Zhengzhu Feng, Shlomo Zilberstein
108
Voted
NIPS
2003
15 years 5 months ago
An MDP-Based Approach to Online Mechanism Design
Online mechanism design (MD) considers the problem of providing incentives to implement desired system-wide outcomes in systems with self-interested agents that arrive and depart ...
David C. Parkes, Satinder P. Singh