Associate Professor Charles Gretton
Areas of expertise
- Artificial Intelligence And Image Processing 0801
- Decision Theory 220302
- Logic 220308
- Adaptive Agents And Intelligent Robotics 080101
Research interests
I am an Artificial Intelligence expert with decades of experience, involving both research in academia and research commercialisation. I co-founded the successful AI company HIVERY in 2015, which is a CSIRO/Data61 spinout supported by the Coca-Cola Founders platform. In my early research career I developed, and supported the development of Gold and SIlver medal winning AI algorithms in SAT(isfiability) and Planning.
My expertise sits across Machine Learning and Automated Reasoning, with a focus on Automated Planning and related optimised control in complex stochastic environments. I have successfully applied my expertise in a wide range of applications including in computer security, astronomical instrumentation, mobile robot control, and continental scale retail business optimisation.
My vision and focus is on developing computing technologies that extend and augment human capability.
Biography
- In my research since 2018, I have been leading research projects on scaling logical inference with Australian commonwealth government organisations. I also actively contribute to projects in the aerospace and astronomy domains. I occasionally collaborate with artists to expose and celebrate the "clockwork orange" in fashionable machine learning paradigms.
- For my education contributions since 2018, I have been convening the TechLauncher program at the Australian National University, and poinoeered related courses that involved entrepreneurial oversease study tours. In a given semester, TechLauncher comprises 35 teams of students working collaboratively and professionally together to: (i) create and leverage technology innovations to build and scale new enterprises, or (ii) fulfil statements of work and build relationships with business, industry, and government organisations in the Canberra region and around the world.
- In mid 2015 I co-founded Red Analytics PTY LTD (a.k.a. HIVERY), a Data61 spinout and global business supported by the coca-cola founders platform.
- From August 2011 I was a senior researcher with the Data61 (NICTA) lab in Canberra, Australia, working on research in Artificial Intelligence and Operations Research.
- From 2008-11 I was a research fellow with the Intelligent Robotics Lab at the University of Birmingham, United Kingdom. There I worked on a project investigating cognitive robots that could self-understand and self-extend.
- I was a researcher with the NICTA lab in Brisbane 2006-2008; There, I worked on fundamental research in AI Search, and simulation studies of city wide evacuation planning. I held adjunct positions at Griffith University since 2006.
Publications
- Grzybowska, H, Kerferd, B, Gretton, C et al. 2020, 'A simulation-optimisation genetic algorithm approach to product allocation in vending machine systems', Expert Systems with Applications, vol. 145.
- Mansour, M, Gretton, C & Norrish, M 2019, 'A Verified Compositional Algorithm for AI Planning', Interactive Theorem Proving (ITP 2019), ed. John Harrison, John O'Leary and Andrew Tolmach, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, USA, pp. 1-19.
- Allard, T, Gretton, C & Haslum, P 2018, 'A TIL-Relaxed Heuristic for Planning with Time Windows', 28th International Conference on Automated Planning and Scheduling (ICAPS 2018), ed. Mathijs de Weerdt, Sven Koenig, Gabriele Röger, Matthijs T. J. Spaan, AAAI Press, Delft, The Netherlands, pp. 2-10.
- Abdulaziz, M, Norrish, M & Gretton, C 2018, 'Formally Verified Algorithms for Upper-Bounding State Space Diameters', Journal of Automated Reasoning, vol. 61, no. 1, pp. 485-520.
- Hanheide, M, Gobelbecker, M, Horn, G et al 2017, 'Robot task planning and explanation in open and uncertain worlds', Artificial Intelligence, vol. 247, pp. 119-150pp..
- Abdulaziz, M, Gretton, C & Norrish, M 2017, 'A state-space acyclicity property for exponentially tighter plan length bounds', 27th International Conference on Automated Planning and Scheduling (ICAPS 2017), AAAI Press, AAAI Press, pp. 2-10.
- Aziz, H, Cahan, C, Gretton, C et al. 2016, 'A Study of Proxies for Shapley Allocations of Transport Costs', Journal of Artificial Intelligence Research, vol. 56, no. -, pp. 573 - 611.
- Aziz, H, Cahan, C, Gretton, C et al 2015, 'A Study of Proxies for Shapley Allocations of Transport Costs', AAAI 1st Workshop on Artificial Intelligence for Transportation, WAIT 2015, AAAI Press, USA, pp. 2-10.
- Grzybowska, H, Gretton, C, Kilby, P et al 2015, 'Decision Support System for a Real-Time Field Service Engineer Scheduling Problem with Emergencies and Collaborations', Transportation Research Record, vol. 2497, no. 2497, pp. 117 - 123pp.
- Abdulaziz, M, Gretton, C & Norrish, M 2015, 'Mechanising Theoretical Upper Bounds in Planning', 24th International Conference on Automated Planning and Scheduling 2014 (ICAPS), ed. S Chien, A Fern, W Ruml, M Do, Association for the Advancement of Artificial Intelligence (AAAI), USA, pp. 1 - 7pp.
- Abdulaziz, M, Gretton, C & Norrish, M 2015, 'Verified over-approximation of the diameter of propositionally factored transition systems', 6th International Conference on Interactive Theorem Proving, ITP 2015, ed. Zhang X.Urban C., Springer International Publishing Switzerland, TBC, pp. 1-16.
- Abdulaziz, M, Norrish, M & Gretton, C 2015, 'Exploiting Symmetries by Planning for a Descriptive Quotient', International Joint Conference on Artificial Intelligence IJCAI 2015, ed. Qiang Yang, Michael Wooldridge, AAAI Press, Palo Alto, California, USA, pp. 1479-1486.
- Gretton, C 2014, 'A more expressive behavioral logic for decision-theoretic planning', Lecture Notes in Computer Science (LNCS), vol. 8862, pp. 13-25.
- Rintanen, J & Gretton, C 2013, 'Computing Upper Bounds on Lengths of Transition Sequences', 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013, AAAI Press, USA, pp. 2365-2372.
- Gretton, C & Kilby, P 2013, 'A Study of Shape Penalties in Vehicle Routing', TRISTAN VIII 2013 - Eighth Triennial Symposium on Transportation Analysis, American Society of Transportation and Logistics, Chicago, USA, pp. 1-4pp.
- Hanheide, M, Gretton, C, Dearden, R et al 2011, 'Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour', International Joint Conference on Artificial Intelligence (IJCAI 2011), ed. Toby Walsh, AAAI Press, Menlo Park California, pp. 2442-2449pp.
- Gobelbecker, M, Gretton, C & Dearden, R 2011, 'A switching planner for combined task and observation planning', National Conference on Artificial Intelligence (AAAI 2011), ed. Wolfram Burgard, AAAI Press, pp. 964-970.
- Robinson, N, Gretton, C, Pham, D et al. 2010, 'Partial Weighted MaxSAT for Optimal Planning', 11th Pacific Rim International Conference on Artificial Intelligence, ed. Byoung-Tak Zhang and Mehmet A. Orgun, Springer, Daegu, Korea, pp. 231-243.
- Robinson, N, Gretton, C, Pham, D et al. 2010, 'Cost-optimal planning using weighted MaxSAT', Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems, COPLAS 2010, Conference Organising Committee, Toronto, ON, pp. 14-22.
- Robinson, N, Gretton, C, Pham, D et al. 2010, 'Partial weighted MaxSAT for optimal planning', 11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010, Springer Link, Berlin, pp. 231-243.
- Robinson, N, Gretton, C, Pham, D et al 2009, 'SAT-Based Parallel Planning Using a Split Representation of Actions', 19th International Conference on Automated Planning and Scheduling, ed. Alfonso Gerevini, Adele E. Howe, Amedeo Cesta, Ioannis Refanidis, AAAI Press, Thessaloniki, Greece.
- Pham, D, Thornton, J, Gretton, C et al 2008, 'Combining Adaptive and Dynamic Local Search for Satisfiability', Journal on Satisfiability, Boolean Modeling and Computation, vol. 4, no. 2-4, pp. 149--172.
- Robinson, N, Gretton, C, Pham, D et al 2008, 'A Compact and Efficient SAT Encoding for Planning', 18th International Conference on Automated Planning and Scheduling 2008 (ICAPS), ed. Jussi Rintanen, Bernhard Nebel, J. Christopher Beck, Eric A. Hansen, American Association for Artificial Intelligence (AAAI) Press, Sydney, pp. 296-303.
- Werner, F, Gretton, C, Maire, F et al 2018, 'Induction of Topological Environment Maps from Sequences of Visited Places', 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Nice, France, pp. 2890--2895.
- Thiebaux, S, Gretton, C, Slaney, J et al 2006, 'Decision-theoretic planning with non-Markovian rewards', Journal of Artificial Intelligence Research, vol. 25, pp. 17-74.
- Gretton, C & Thiebaux, S 2004, 'Exploiting first-order regression in inductive policy selection', Conference on Uncertainty in Artificial Intelligence (UAI 2004), ed. M. Chickering, J. Halpern, AUAI Press, Arlington, VA USA, pp. 217-225.
- Gretton, C, Price, D & Thiebaux, S 2003, 'Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards', Conference on Uncertainty in Artificial Intelligence (UAI 2003), ed. C. Meek, Morgan Kauffman Publishers, San Francisco, California, USA, pp. 289-296.
- Gretton, C, Price, D & Thiebaux, S 2003, 'NMRDPP: A System for Decision-theoretic Planning with Non-Markovian Rewards', International Workshop on Planning under Uncertainty and Incomplete Information, ed. Geffner, Pistore, Smith, Conference Organising Committee, Trento, Italy, pp. 48-56.
