Jochen Renz

Professor

École polytechnique fédérale de Lausanne

澳大利亚国立大学

Show Academic Trajectory

Ego Network

D-Core

Research Interests

Author Statistics

Experience

Education

Bio

Jochen Renz,Professor,Head of Artificial Intelligence group.

Papers103 papers

Sort

By YearBy Citation

The computational complexity of Angry Birds

Matthew Stephenson,Jochen Renz,Xiaoyu Ge

Artificial Intelligence, (2020): 103232

EIBibtex

The Computational Complexity of Angry Birds (Extended Abstract)

Matthew Stephenson,Jochen Renz, Xiaoyu Ge

IJCAI, pp.5105-5109, (2020)

EIBibtex

A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking

Matthew Stephenson, Damien Anderson,Ahmed Khalifa,John Levine,Jochen Renz,Julian Togelius,Christoph Salge

CEC, pp.1-8, (2020)

EIBibtex

The 2017 AIBIRDS Level Generation Competition

Matthew Stephenson,Jochen Renz, Xiaoyu Ge, Lucas Ferreira,Julian Togelius, Peng Zhang

IEEE Transactions on Games, no. 3 (2019): 275-284

Cited by5EIWOSBibtex

Qualitative Place Maps for Landmark-based Localization and Navigation in GPS-denied Environments

Hua Hua, Peng Zhang,Jochen Renz

SIGSPATIAL/GIS, pp.23-32, (2019)

EIBibtex

Agent-Based Adaptive Level Generation for Dynamic Difficulty Adjustment in Angry Birds

Matthew Stephenson,Jochen Renz

arXiv: Artificial Intelligence, (2019)

EIBibtex

Support Relation Analysis for Objects in Multiple View RGB-D Images

Peng Zhang,Xiaoyu Ge,Jochen Renz

IJCAI, pp.41-61, (2019)

EIBibtex

Using Restart Heuristics to Improve Agent Performance in Angry Birds

Tommy Liu,Jochen Renz,Peng Zhang,Matthew Stephenson

CoG, (2019): 1-8

EIBibtex

Support Relation Analysis for Objects in Multiple View RGB-D Images

Peng Zhang,Xiaoyu Ge,Jochen Renz

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

AI meets Angry Birds

Jochen Renz, XiaoYu Ge, Matthew Stephenson, Peng Zhang

Nature Machine Intelligence, no. 7 (2019): 328-328

Bibtex

Deceptive angry birds: towards smarter game-playing agents

Matthew Stephenson,Jochen Renz

FDG, pp.13:1-13:10, (2018)

Cited by1EIBibtex

Qualitative Representation and Reasoning over Direction Relations across Different Frames of Reference

Hua Hua,Jochen Renz,Xiaoyu Ge

KR, pp.551-560, (2018)

Cited by3EIBibtex

Towards Explainable Inference about Object Motion using Qualitative Reasoning

Xiaoyu Ge,Jochen Renz, Hua Hua

KR, (2018): 641-642

Cited by1EIBibtex

Deceptive Games

Damien Anderson, Matthew Stephenson,Julian Togelius, Christian Salge,John Levine,Jochen Renz

EvoApplications, (2018)

Cited by16EIBibtex

The 2017 AIBIRDS Competition

Matthew Stephenson,Jochen Renz,Xiaoyu Ge,Peng Zhang

arXiv: Artificial Intelligence, (2018)

Cited by1EIBibtex

A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking

Matthew Stephenson, Damien Anderson, Ahmed Khalifa,John Levine,Jochen Renz,Julian Togelius,Christoph Salge

arXiv: Artificial Intelligence, (2018)

Cited by1EIBibtex

Working Papers of the IJCAI-ECAI-2018 Workshop on Learning and Reasoning

Vaishak Belle,Lluís Godo,Henri Prade,Jochen Renz, Steven Schockaert,Ute Schmid, Diderich Wolter

international joint conference on artificial intelligence, (2018)

Bibtex

The Computational Complexity of Angry Birds and Similar Physics-Simulation Games

Matthew Stephenson,Jochen Renz,Xiaoyu Ge

AIIDE, pp.241-247, (2017)

Cited by1EIBibtex

Introducing real world physics and macro-actions to general video game ai

Diego Perez Liebana, Matthew Stephenson, Raluca D. Gaina,Jochen Renz,Simon M. Lucas

CIG, pp.248-255, (2017)

Cited by4EIBibtex

Generating varied, stable and solvable levels for angry birds style physics games

Matthew Stephenson,Jochen Renz

CIG, pp.288-295, (2017)

Cited by6EIBibtex

View All

Base Info Papers Patents Projects

Jochen RenzBinding

Papers103 papers

Jochen Renz