Generating Hierarchical Structure in Reinforcement Learning from State Variables. - Bernhard Hengst (PRICAI, 2000)

The UNSW RoboCup 2000 Sony Legged League Team. - Bernhard Hengst; Darren Ibbotson; Son Bao Pham; John Dalgiesh; Mike Lawther; Phil Preston; Claude Sammut (RoboCup, 2000)

The Evolution of a Robot Soccer Team. - Claude Sammut; Bernhard Hengst (ISRR, 2001)

The UNSW RoboCup 2001 Sony Legged Robot League Team. - Spencer C. Chen; Martin Siu; Thomas Vogelgesang 002; Tak Fai Yik; Bernhard Hengst; Son Bao Pham; Claude Sammut (RoboCup, 2001)

Omnidirectional Locomotion for Quadruped Robots. - Bernhard Hengst; Darren Ibbotson; Son Bao Pham; Claude Sammut (RoboCup, 2001)

Stochastic Gradient Descent Localisation in Quadruped Robots. - Son Bao Pham; Bernhard Hengst; Darren Ibbotson; Claude Sammut (RoboCup, 2001)

Discovering Hierarchy in Reinforcement Learning with HEXQ. - Bernhard Hengst (ICML, 2002)

Discovering hierarchy in reinforcement learning. - Bernhard Hengst (2003)

Model Approximation for HEXQ Hierarchical Reinforcement Learning. - Bernhard Hengst (ECML, 2004)

Discovering multiple levels of a task hierarchy concurrently. - Duncan Potts; Bernhard Hengst (Robotics Auton. Syst., 2004)

Structural Abstraction Experiments in Reinforcement Learning. - Robert Fitch; Bernhard Hengst; Dorian Suc; Greg Calbert; Jason B. Scholz (Australian Conference on Artificial Intelligence, 2005)

Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning. - Bernhard Hengst (Australian Conference on Artificial Intelligence, 2007)

Partial Order Hierarchical Reinforcement Learning. - Bernhard Hengst (Australasian Conference on Artificial Intelligence, 2008)

Learning and Recognition of 3D Visual Objects in Real-Time. - Shihab Hamid; Bernhard Hengst (Australasian Conference on Artificial Intelligence, 2009)

On the performance of adaptive traffic signal control. - Chen Cai; Bernhard Hengst; Getian Ye; Enyang Huang; Yang Wang 002; J. Carlos Aydos; Glenn Geers (GIS-IWCTS, 2009)

Kalman filter process models for urban vehicle tracking. - J. Carlos Aydos; Bernhard Hengst; William Uther (ITSC, 2009)

Hierarchical Reinforcement Learning. - Bernhard Hengst (Encyclopedia of Machine Learning, 2010)

Fast Object Detection with Foveated Imaging and Virtual Saccades on Resource Limited Robots. - Adrian Ratter; David Claridge; Jayen Ashar; Bernhard Hengst (Australasian Conference on Artificial Intelligence, 2011)

Learning ankle-tilt and foot-placement control for flat-footed bipedal balancing and walking. - Bernhard Hengst; Manuel Lange; Brock White (Humanoids, 2011)

Behavioural cloning for driving robots over rough terrain. - Raymond Ka-Man Sheh; Bernhard Hengst; Claude Sammut (IROS, 2011)

Hierarchical Approaches. - Bernhard Hengst (Reinforcement Learning, 2012)

On-Line Model-Based Continuous State Reinforcement Learning Using Background Knowledge. - Bernhard Hengst (Australasian Conference on Artificial Intelligence, 2012)

Robot Localisation Using Natural Landmarks. - Peter Anderson 001; Yongki Yusmanthia; Bernhard Hengst; Arcot Sowmya (RoboCup, 2012)

An ICP inspired inverse sensor model with unknown data association. - Peter Anderson 001; Youssef Hunter; Bernhard Hengst (ICRA, 2013)

Fast Monocular Visual Compass for a Computationally Limited Robot. - Peter Anderson 001; Bernhard Hengst (RoboCup, 2013)

RoboCup SPL 2014 Champion Team Paper. - 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; et al. (RoboCup, 2014)

Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning. - Sean Harris; Bernhard Hengst; Maurice Pagnucco (AAAI Workshop: Knowledge, Skill, and Behavior Transfer in Autonomous Robots, 2015)

RoboCup SPL 2015 Champion Team Paper. - Brad Hall; Sean Harris; Bernhard Hengst; Roger Liu; Kenneth Ng; Maurice Pagnucco; Luke Pearson; Claude Sammut; Peter Schmidt (RoboCup, 2015)

Composability in Cognitive Hierarchies. - David Rajaratnam; Bernhard Hengst; Maurice Pagnucco; Claude Sammut; Michael Thielscher (Australasian Conference on Artificial Intelligence, 2016)

A Framework for Integrating Symbolic and Sub-Symbolic Representations. - Keith Clark; Bernhard Hengst; Maurice Pagnucco; David Rajaratnam; Peter Robinson 007; Claude Sammut; Michael Thielscher (IJCAI, 2016)

Hierarchical Reinforcement Learning. - Bernhard Hengst (Encyclopedia of Machine Learning and Data Mining, 2017)

Perceptual Context in Cognitive Hierarchies. - Bernhard Hengst; Maurice Pagnucco; David Rajaratnam; Claude Sammut; Michael Thielscher (Description Logic, Theory Combination, and All That, 2019)

Online Learning and Planning in Cognitive Hierarchies. - Bernhard Hengst; Maurice Pagnucco; David Rajaratnam; Claude Sammut; Michael Thielscher (CoRR, 2023)