Bernhard Hengst

34 papers A* 3A 1B 1C 9Journal 3Unranked 13

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Online Learning and Planning in Cognitive Hierarchies. CoRR Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher
2019	—	`conf`	Perceptual Context in Cognitive Hierarchies. Description Logic, Theory Combination, and All That Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher
2018	J	`jnl`	Perceptual Context in Cognitive Hierarchies. CoRR Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher
2017	—	`ch.`	Hierarchical Reinforcement Learning. Encyclopedia of Machine Learning and Data Mining Bernhard Hengst
2016	A*	`conf`	A Framework for Integrating Symbolic and Sub-Symbolic Representations. IJCAI Keith Clark, Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Peter Robinson, Claude Sammut, Michael Thielscher
2016	—	`conf`	Composability in Cognitive Hierarchies. Australasian Conference on Artificial Intelligence David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut, Michael Thielscher
2015	C	`conf`	RoboCup SPL 2015 Champion Team Paper. RoboCup Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Kenneth Ng, Maurice Pagnucco, Luke Pearson, Claude Sammut, Peter Schmidt
2015	—	`conf`	Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning. AAAI Workshop: Knowledge, Skill, and Behavior Transfer in Autonomous Robots Sean Harris, Bernhard Hengst, Maurice Pagnucco
2014	C	`conf`	RoboCup SPL 2014 Champion Team Paper. RoboCup Jayen Ashar, Jaiden Ashmore, Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Jacky Zijie Mei, Maurice Pagnucco, Ritwik Roy, Claude Sammut, Oleg O. Sushkov, Belinda Teh, Luke Tsekouras
2013	A*	`conf`	An ICP inspired inverse sensor model with unknown data association. ICRA Peter Anderson, Youssef Hunter, Bernhard Hengst
2013	C	`conf`	Fast Monocular Visual Compass for a Computationally Limited Robot. RoboCup Peter Anderson, Bernhard Hengst
2012	—	`ch.`	Hierarchical Approaches. Reinforcement Learning Bernhard Hengst
2012	—	`conf`	On-Line Model-Based Continuous State Reinforcement Learning Using Background Knowledge. Australasian Conference on Artificial Intelligence Bernhard Hengst
2012	C	`conf`	Robot Localisation Using Natural Landmarks. RoboCup Peter Anderson, Yongki Yusmanthia, Bernhard Hengst, Arcot Sowmya
2011	A	`conf`	Behavioural cloning for driving robots over rough terrain. IROS Raymond Ka-Man Sheh, Bernhard Hengst, Claude Sammut
2011	—	`conf`	Fast Object Detection with Foveated Imaging and Virtual Saccades on Resource Limited Robots. Australasian Conference on Artificial Intelligence Adrian Ratter, David Claridge, Jayen Ashar, Bernhard Hengst
2011	—	`conf`	Learning ankle-tilt and foot-placement control for flat-footed bipedal balancing and walking. Humanoids Bernhard Hengst, Manuel Lange, Brock White
2010	—	`ch.`	Hierarchical Reinforcement Learning. Encyclopedia of Machine Learning Bernhard Hengst
2009	—	`conf`	Kalman filter process models for urban vehicle tracking. ITSC J. Carlos Aydos, Bernhard Hengst, William Uther
2009	—	`conf`	Learning and Recognition of 3D Visual Objects in Real-Time. Australasian Conference on Artificial Intelligence Shihab Hamid, Bernhard Hengst
2009	—	`conf`	On the performance of adaptive traffic signal control. GIS-IWCTS Chen Cai, Bernhard Hengst, Getian Ye, Enyang Huang, Yang Wang, J. Carlos Aydos, Glenn Geers
2008	—	`conf`	Partial Order Hierarchical Reinforcement Learning. Australasian Conference on Artificial Intelligence Bernhard Hengst
2007	—	`conf`	Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning. Australian Conference on Artificial Intelligence Bernhard Hengst
2005	—	`conf`	Structural Abstraction Experiments in Reinforcement Learning. Australian Conference on Artificial Intelligence Robert Fitch, Bernhard Hengst, Dorian Suc, Greg Calbert, Jason B. Scholz
2004	J	`jnl`	Discovering multiple levels of a task hierarchy concurrently. Robotics Auton. Syst. Duncan Potts, Bernhard Hengst
2004	—	`conf`	Model Approximation for HEXQ Hierarchical Reinforcement Learning. ECML Bernhard Hengst
2003	—	`—`	Discovering hierarchy in reinforcement learning. Bernhard Hengst
2002	A*	`conf`	Discovering Hierarchy in Reinforcement Learning with HEXQ. ICML Bernhard Hengst
2001	C	`conf`	Omnidirectional Locomotion for Quadruped Robots. RoboCup Bernhard Hengst, Darren Ibbotson, Son Bao Pham, Claude Sammut
2001	C	`conf`	Stochastic Gradient Descent Localisation in Quadruped Robots. RoboCup Son Bao Pham, Bernhard Hengst, Darren Ibbotson, Claude Sammut
2001	C	`conf`	The Evolution of a Robot Soccer Team. ISRR Claude Sammut, Bernhard Hengst
2001	C	`conf`	The UNSW RoboCup 2001 Sony Legged Robot League Team. RoboCup Spencer C. Chen, Martin Siu, Thomas Vogelgesang, Tak Fai Yik, Bernhard Hengst, Son Bao Pham, Claude Sammut
2000	B	`conf`	Generating Hierarchical Structure in Reinforcement Learning from State Variables. PRICAI Bernhard Hengst
2000	C	`conf`	The UNSW RoboCup 2000 Sony Legged League Team. RoboCup Bernhard Hengst, Darren Ibbotson, Son Bao Pham, John Dalgiesh, Mike Lawther, Phil Preston, Claude Sammut