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FUZZIEEE
2007
IEEE
14 years 4 months ago
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
DEXAW
1999
IEEE
322views Database» more  DEXAW 1999»
14 years 2 months ago
The Process of Inconsistency Management: A Framework for Understanding
The process of managing inconsistency is a fundamental activity that permeates a large part of the systems development process. Failure to identify inconsistencies may lead to maj...
Bashar Nuseibeh, Steve M. Easterbrook
AAAI
1996
13 years 11 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
ATAL
2004
Springer
14 years 3 months ago
Communication for Improving Policy Computation in Distributed POMDPs
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
Ranjit Nair, Milind Tambe, Maayan Roth, Makoto Yok...
ATAL
2003
Springer
14 years 3 months ago
Optimizing information exchange in cooperative multi-agent systems
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
Claudia V. Goldman, Shlomo Zilberstein