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ICML
2004
IEEE
16 years 7 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ECML
2007
Springer
16 years 24 days ago
Safe Q-Learning on Complete History Spaces
In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
Stephan Timmer, Martin Riedmiller
CCS
1998
ACM
15 years 11 months ago
A Probabilistic Poly-Time Framework for Protocol Analysis
We develop a framework for analyzing security protocols in which protocol adversaries may be arbitrary probabilistic polynomial-time processes. In this framework, protocols are wr...
Patrick Lincoln, John C. Mitchell, Mark Mitchell, ...
TARK
1998
Springer
15 years 10 months ago
Simulative Inference About Nonmonotonic Reasoners
If one has attributed certain initial beliefs to an agent, it is sometimes possible to reason about further beliefs the agent must hold by observing what conclusions one's ow...
Aaron N. Kaplan
FLAIRS
2008
15 years 9 months ago
A Case-Based Reasoning Approach to Imitating RoboCup Players
We describe an effort to train a RoboCup soccer-playing agent playing in the Simulation League using casebased reasoning. The agent learns (builds a case base) by observing the be...
Michael W. Floyd, Babak Esfandiari, Kevin Lam