Dr Bernhard Hengst
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Publications related to this Person
Book Chapters
Hengst B, 2017, 'Hierarchical Reinforcement Learning', in Encyclopedia of Machine Learning and Data Mining, Springer US, pp. 611 - 619, http://dx.doi.org/10.1007/978-1-4899-7687-1_363
Ashar J; Ashmore J; Hall B; Harris S; Hengst B; Liu R; Mei Z; Pagnucco M; Roy R; Sammut C; Sushkov O; Teh B; Tsekouras L, 2015, 'RoboCup SPL 2014 Champion Team Paper', in RoboCup 2014: Robot World Cup XVIII, Springer International Publishing, pp. 70 - 81, http://dx.doi.org/10.1007/978-3-319-18615-3_6
Hengst B, 2013, 'Reinforcement learning of bipedal lateral behaviour and stability control with ankle-roll activation', in Nature-Inspired Mobile Robotics, pp. 411 - 418, http://dx.doi.org/10.1142/9789814525534_0052
Hengst B, 2012, 'Hierarchical approaches', in Adaptation, Learning, and Optimization, pp. 293 - 323, http://dx.doi.org/10.1007/978-3-642-27645-3_9
Hengst B, 2008, 'Partial Order Hierarchical Reinforcement Learning', in AI 2008: Advances in Artificial Intelligence, Springer Berlin Heidelberg, pp. 138 - 149, http://dx.doi.org/10.1007/978-3-540-89378-3_14
Sammut CA; Hengst B, 2003, 'The Evolution of a Robot Soccer Team', in Jarvis R; Zelinsky A (ed.), Robotics Research: The 10th International Conference, edn. SPRINGER TRACTS IN ADVANCED ROBOTICS, Springer Publishing Company, Berlin, pp. 517 - 529, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000183013700033&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a
Journal articles
Wiley TC; Sammut C; Hengst B; Bratko I, 2016, 'A Planning and Learning Hierarchy using Qualitative Reasoning for the On-Line Acquisition of Robotic Behaviors', Advances in Cognitive Systems, vol. 4, pp. 93 - 112, http://www.cogsys.org/papers/ACSvol4/paper8.pdf
Anderson P; Hengst B, 2014, 'Fast monocular visual compass for a computationally limited robot', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8371 LNAI, pp. 244 - 255, http://dx.doi.org/10.1007/978-3-662-44468-9_22
Hengst B; Lange M; White B, 2011, 'Learning ankle-tilt and foot-placement control for flat-footed bipedal balancing and walking', IEEE-RAS International Conference on Humanoid Robots, pp. 288 - 293, http://dx.doi.org/10.1109/Humanoids.2011.6100814
Cai C; Hengst B; Ye G; Huang E; Wang Y; Aydos C; Geers G, 2009, 'On the performance of adaptive traffic signal control', GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, pp. 37 - 42, http://dx.doi.org/10.1145/1645373.1645380
Potts D; Hengst B, 2004, 'Concurrent discovery of task hierarchies', AAAI Spring Symposium - Technical Report, vol. 4, pp. 17 - 24
Hengst B, 2004, 'Model approximation for HEXQ hierarchical reinforcement learning', Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 3201, pp. 144 - 155, http://dx.doi.org/10.1007/978-3-540-30115-8_16
Hengst B; Stone P; Asada M; Balch T; D Andrea R; Fujita M; Kraetzschmar G; Lima P; Lau N; Lund H; Polani D; Scerri P; Tadokoro S; Weigel T; Wyeth G, 2001, 'RoboCup-2000 The Fourth Robotic Soccer World Championships', AI Magazine, pp. 11 - 38
Hengst B; Pham SB; Lawther MJ; Byrnes-Preston PJ; Sammut CA; Dalgliesh J; Ibbotson D, 2001, 'The UNSW RoboCup 2000 Sony Legged League Team', RoboCup 2000: Robot Soccer World Cup IV, vol. 201, pp. 64 - 75
Hengst B, 2000, 'Generating hierarchical structure in reinforcement learning from state variables', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1886 LNAI, pp. 533 - 543, http://dx.doi.org/10.1007/3-540-44533-1_54
Conference Papers
Rajaratnam D; Hengst B; Pagnucco M; Sammut C; Thielscher M, 2016, 'Composability in cognitive hierarchies', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Hobart, TAS, Australia, pp. 42 - 55, presented at 29th Australasian Joint Conference, Hobart, TAS, Australia, 05 December 2016 - 08 December 2016, http://dx.doi.org/10.1007/978-3-319-50127-7_4
hengst B; Marcus N; pagnucco M; Rajaratnam D; sammut C; Thielscher M, 2016, 'Towards Autonomous Adaptation and Trust.', in Towards Autonomous Adaptation and Trust., IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, Korea, presented at IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, Korea, 09 October 2016 - 14 October 2016
Hengst B; Keith C; Pagnucco M; Rajaratnam D; Robinson P; sammut C; Thielscher M, 2016, 'A Framework for Integrating Symbolic and Sub-symbolic Representations', in IJCAI International Joint Conference on Artificial Intelligence, New York, New York, USA, pp. 2486 - 2492, presented at 25th International Joint Conference on Artificial Intelligence IJCAI-16, New York, New York, USA, 09 July 2016 - 15 July 2016
Hengst B, 2015, 'Reinforcement Learning Inspired Disturbance Rejection and Nao Bipedal Locomotion}', in Reinforcement Learning Inspired Disturbance Rejection and Nao Bipedal Locomotion}, 15th IEEE RAS Humanoids Conference, Seoul, Korea, presented at 15th IEEE RAS Humanoids Conference, Seoul, Korea, 03 November 2015 - 05 November 2015
Wiley TC; Sammut C; Hengst B; Bratko I, 2015, 'A Multi-Strategy Architecture for On-Line Learning of Robotic Behaviours using Qualitative Reasoning', in A Multi-Strategy Architecture for On-Line Learning of Robotic Behaviours using Qualitative Reasoning, Advances in Cognitive Systems, Atlanta, presented at Advances in Cognitive Systems, Atlanta, 29 May 2015 - 31 May 2015
Harris S; Hengst B; Pagnucco M, 2015, 'Termination approximation: Continuous state decomposition for hierarchical reinforcement learning', in AAAI Workshop - Technical Report, Austin, Texas, pp. 16 - 22, presented at Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, Texas, 25 January 2015 - 30 January 2015, http://www.aaai.org/ocs/index.php/WS/AAAIW15/paper/view/10114/10205
Ashar J; Ashmore J; Hall B; Harris S; Hengst B; Liu R; Mei Z; Pagnucco M; Roy R; Sammut C; Sushkov O; Teh B; Tsekouras L, 2015, 'RoboCup SPL 2014 champion team paper', in Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), pp. 70 - 81, http://dx.doi.org/10.1007/978-3-319-18615-3_6
Hall B; Harris S; Hengst B; Liu R; Ng K; Pagnucco M; Pearson L; Sammut C; Schmidt P, 2015, 'Robocup SPL 2015 champion team paper', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 72 - 82, http://dx.doi.org/10.1007/978-3-319-29339-4_6
Anderson P; Hunter Y; Hengst B, 2013, 'An ICP Inspired Inverse Sensor Model with Unknown Data Association', in 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), Kongresszentrum Karlsruhe, Karlsruhe, Germany, pp. 2713 - 2718, presented at 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), Kongresszentrum Karlsruhe, Karlsruhe, Germany, 06 May 2013 - 10 May 2013, http://dx.doi.org/10.1109/ICRA.2013.6630950
Hengst B; Lange M; White B, 2011, 'Learning Ankle-Tilt and Foot-Placement Control for Flat-footed Bipedal Balancing and Walking', in IEEE-RAS International Conference on Humanoid Robots, IEEE, Piscataway NJ, United States, pp. 1 - 6, presented at 2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011, Bled, Slovenia, 26 October 2011 - 28 October 2011, http://dx.doi.org/10.1109/Humanoids.2011.6100799
Sheh RK; Hengst B; Sammut CA, 2011, 'Behavioural cloning for driving robots over rough terrain', in IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IEEE, Piscataway, NJ, United States, pp. 732 - 737, presented at 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11, San Francisco, CA, United States, 25 September 2011 - 30 September 2011, http://dx.doi.org/10.1109/IROS.2011.6048304
Sheh R; Hengst B; Sammut C, 2011, 'Behavioural cloning for driving robots over rough terrain', in 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, presented at 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), 25 September 2011 - 30 September 2011, http://dx.doi.org/10.1109/iros.2011.6094652
Ashar J; Claridge D; Hall B; Hengst B; Nguyen H; Sammut CA; Ratter A; Robinson S; Vance B; Pagnucco M; White B; Zhu Y; Hall B, 2010, 'RoboCup Standard Platform League - rUNSWift 2010', in Proceedings of the 2010 Australasian Conference on Robotics & Automation, Australian Robotics and Automation Association, http://www.araa.asn.au/acra/acra2010/index.html, pp. 1 - 10, presented at 2010 Australasian Conference on Robotics and Automation, ACRA 2010, Brisbane, QLD, 01 December 2010 - 03 December 2010, http://www.araa.asn.au/acra/acra2010/index.html
Aydos C; Hengst B; Uther WT, 2009, 'Kalman Filter Process Models for Urban Vehicle Tracking', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, St. Louis, pp. 739 - 746, presented at 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, 08 October 2009, http://dx.doi.org/10.1109/ITSC.2009.5309752
Geers DG; Tyler P; Hengst B; Huang E; Quail D, 2009, 'Enhanced roundabout metering', in 16th ITS World Congress
Hengst B, 2007, 'Safe state abstraction and reusable continuing subtasks in hierarchical reinforcement learning', in 20th Australian joint conference on artificial intelligence, Gold Coast, Qld, pp. 58 - 67, presented at Australasian Joint Conference on Artificial Intelligence 2007, Gold Coast, Qld, 02 December 2007 - 06 December 2007
Sheh RK; Kadous MW; Sammut CA; Hengst B, 2007, 'Extracting terrain features from range images for autonomous random stepfield traversal', in IEEE international workshop on safety, security and rescue robotics, Rome, Italy, presented at IEEE international workshop on safety, security and rescue robotics, Rome, Italy, 27 September 2007 - 29 September 2007, http://dx.doi.org/10.1109/SSRR.2007.4381260
Fitch R; Hengst B; Šuc D; Calbert G; Scholz J, 2005, 'Structural abstraction experiments in reinforcement learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 164 - 175, http://dx.doi.org/10.1007/11589990_19
Sheh RK; Hengst B, 2004, 'A Fast Vision Sensor Model: Matching Edges with NightOwl', in Australasian conference on robotics and automation 2004, Australasian conference on robotics and automation 2004, Canberra, presented at Australasian conference on robotics and automation 2004, Canberra, 06 December 2004 - 08 December 2004
Hengst B, 2002, 'Discovering Hierarchy in Reinforcement Learning with HEXQ', in ICML-2002 Workshop Machine Learning in Computer Vision, ICML-2002 Workshop Machine Learning in Computer Vision, Sydney, presented at ICML-2002 Workshop Machine Learning in Computer Vision, Sydney, 08 July 2002 - 12 July 2002
Sammut CA, 2001, 'Omnidirectional Locomotion for Quadruped Robots', in RoboCup 2001, Washington DC, USA, pp. 368 - 373, presented at RoboCup 2001, Washington DC, USA, 02 August 2001 - 10 August 2001
Hengst B; Sammut CA, 2001, 'The UNSW RoboCup 2001 Sony Legged Robot League Team', in RoboCup 2001, Washington DC, USA, pp. 39 - 48, presented at RoboCup 2001, Washington DC, USA, 02 August 2001 - 10 August 2001
Sammut CA; Hengst B, 2001, 'Stochastic Gradient Desent Localisation in Quadruped Robots', in RoboCup 2001, Washington DC, USA, pp. 447 - 452, presented at RoboCup 2001, Washington DC, USA, 02 August 2001 - 10 August 2001
Working Papers
Hengst B; Pagnucco M; Rajaratnam D; Sammut C; Thielscher M, 2019, Perceptual Context in Cognitive Hierarchies, http://dx.doi.org/10.1007/978-3-030-22102-7_16, http://arxiv.org/abs/1801.02270v1