Martijn van Otterlo

According to our database1, Martijn van Otterlo authored at least 28 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Regular Decision Processes for Grid Worlds.
Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020
A Conceptual View on the Design and Properties of Explainable AI Systems for Legal Settings.
Proceedings of the AI Approaches to the Complexity of Legal Systems XI-XII, 2020

2019
End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

2018
Gatekeeping Algorithms with Human Ethical Bias: The ethics of algorithms in archives, libraries and society.
CoRR, 2018

Personalization of Health Interventions Using Cluster-Based Reinforcement Learning.
Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

On Requirements and Design Criteria for Explainability in Legal AI.
Proceedings of the EXplainable AI in Law Workshop co-located with the 31st International Conference on Legal Knowledge and Information Systems, 2018

2017
From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics.
CoRR, 2017

Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning.
Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

2015
Reports of the AAAI 2014 Conference Workshops.
AI Mag., 2015

Proceedings of the 4th Workshop on Machine Learning for Interactive Systems (MLIS-2015).
Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015

2014
There are plenty of places like home: Using relational representations in hierarchies for distance-based image understanding.
Neurocomputing, 2014

2013
Machine learning for interactive systems and robots: a brief introduction.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

On the use of probabilistic relational affordance models for sequential manipulation tasks in robotics.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Learning relational affordance models for robots in multi-object manipulation tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A Relational Distance-based Framework for Hierarchical Image Understanding.
Proceedings of the ICPRAM 2012, 2012

Conclusions, Future Directions and Outlook.
Proceedings of the Reinforcement Learning, 2012

Reinforcement Learning and Markov Decision Processes.
Proceedings of the Reinforcement Learning, 2012

Solving Relational and First-Order Logical Markov Decision Processes: A Survey.
Proceedings of the Reinforcement Learning, 2012

2011
Spatial role labeling: Towards extraction of spatial relations from natural language.
ACM Trans. Speech Lang. Process., 2011

Statistical Relational Learning of Object Affordances for Robotic Manipulation.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Relational Learning for Spatial Relation Extraction from Natural Language.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

2010
Spatial Role Labeling: Task Definition and Annotation Scheme.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

DTProbLog: A Decision-Theoretic Probabilistic Prolog.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
The Logic of Adaptive Behavior - Knowledge Representation and Algorithms for Adaptive Sequential Decision Making under Uncertainty in First-Order and Relational Domains
Frontiers in Artificial Intelligence and Applications 192, IOS Press, ISBN: 978-1-58603-969-1, 2009

Intensional dynamic programming. A Rosetta stone for structured dynamic programming.
J. Algorithms, 2009

2008
The logic of adaptive behavior : knowledge representation and algorithms for the Markov decision process framework in first-order domains.
PhD thesis, 2008

2004
Bellman goes relational.
Proceedings of the Machine Learning, 2004


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