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» Multi-objective Model Checking of Markov Decision Processes
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BPM
2010
Springer
191views Business» more  BPM 2010»
13 years 9 months ago
Correctness Ensuring Process Configuration: An Approach Based on Partner Synthesis
Abstract. A configurable process model describes a family of similar process models in a given domain. Such a model can be configured to obtain a specific process model that is sub...
Wil M. P. van der Aalst, Niels Lohmann, Marcello L...
ICML
2006
IEEE
14 years 9 months ago
PAC model-free reinforcement learning
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
ICML
2006
IEEE
14 years 9 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto
ICVS
2001
Springer
14 years 1 months ago
Adapting Object Recognition across Domains: A Demonstration
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus
AAAI
2007
13 years 11 months ago
Situated Conversational Agents
A Situated Conversational Agent (SCA) is an agent that engages in dialog about the context within which it is embedded. Situated dialog is characterized by its deep connection to ...
William Thompson