| Emergent tangled graph representations for Atari game playing agents S Kelly, MI Heywood Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017 | 52 | 2017 |
| Multi-task learning in atari video games with emergent tangled program graphs S Kelly, MI Heywood Proceedings of the Genetic and Evolutionary Computation Conference, 195-202, 2017 | 47 | 2017 |
| Emergent solutions to high-dimensional multitask reinforcement learning S Kelly, MI Heywood Evolutionary Computation 26 (3), 347-380, 2018 | 38 | 2018 |
| Emergent policy discovery for visual reinforcement learning through tangled program graphs: A tutorial S Kelly, RJ Smith, MI Heywood Genetic programming theory and practice XVI, 37-57, 2019 | 24 | 2019 |
| On run time libraries and hierarchical symbiosis S Kelly, P Lichodzijewski, MI Heywood 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 24 | 2012 |
| Knowledge transfer from keepaway soccer to half-field offense through program symbiosis: Building simple programs for a complex task S Kelly, MI Heywood Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 22 | 2015 |
| Discovering rubik's cube subgroups using coevolutionary gp: A five twist experiment RJ Smith, S Kelly, MI Heywood Proceedings of the Genetic and Evolutionary Computation Conference 2016, 789-796, 2016 | 19 | 2016 |
| On diversity, teaming, and hierarchical policies: Observations from the keepaway soccer task S Kelly, MI Heywood Genetic Programming: 17th European Conference, EuroGP 2014, Granada, Spain …, 2014 | 18 | 2014 |
| A modular memory framework for time series prediction S Kelly, J Newsted, W Banzhaf, C Gondro Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 949-957, 2020 | 17 | 2020 |
| Emergent tangled program graphs in partially observable recursive forecasting and ViZDoom navigation tasks S Kelly, RJ Smith, MI Heywood, W Banzhaf ACM Transactions on Evolutionary Learning and Optimization 1 (3), 1-41, 2021 | 16 | 2021 |
| Evolving hierarchical memory-prediction machines in multi-task reinforcement learning S Kelly, T Voegerl, W Banzhaf, C Gondro Genetic Programming and Evolvable Machines 22, 573-605, 2021 | 13 | 2021 |
| Discovering agent behaviors through code reuse: Examples from half-field offense and ms. pac-man S Kelly, MI Heywood IEEE Transactions on Games 10 (2), 195-208, 2017 | 13 | 2017 |
| Genotypic versus behavioural diversity for teams of programs under the 4-v-3 keepaway soccer task S Kelly, M Heywood Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 11 | 2014 |
| Temporal memory sharing in visual reinforcement learning S Kelly, W Banzhaf Genetic Programming Theory and Practice XVII, 101-119, 2020 | 10 | 2020 |
| Scaling genetic programming to challenging reinforcement tasks through emergent modularity S Kelly | 10 | 2018 |
| Emergent Tangled Program Graphs in Multi-Task Learning. S Kelly, MI Heywood IJCAI, 5294-5298, 2018 | 8 | 2018 |
| The factory must grow: Automation in factorio KN Reid, I Miralavy, S Kelly, W Banzhaf, C Gondro Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 6 | 2021 |
| Discovering adaptable symbolic algorithms from scratch S Kelly, DS Park, X Song, M McIntire, P Nashikkar, R Guha, W Banzhaf, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 4 | 2023 |
| On synergies between diversity and task decomposition in constructing complex systems with GP JPC Bonson, S Kelly, AR McIntyre, MI Heywood Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 4 | 2016 |
| Lignin. Encyclopedia of Polymer Science and Engineering WG Glasser, SS Kelley John Wiley & Sons, USA, 8, 795-796, 1985 | 4 | 1985 |
Malcolm HeywoodProfessor, Computer Science, Dalhousie UniversityVerified email at cs.dal.ca
