Stephen Kelly
Title
Cited by
Cited by
Year
Emergent tangled graph representations for Atari game playing agents
S Kelly, MI Heywood
European Conference on Genetic Programming, 64-79, 2017
312017
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
272017
On run time libraries and hierarchical symbiosis
S Kelly, P Lichodzijewski, MI Heywood
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
202012
On diversity, teaming, and hierarchical policies: Observations from the keepaway soccer task
S Kelly, MI Heywood
European Conference on Genetic Programming, 75-86, 2014
182014
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
172015
Emergent solutions to high-dimensional multitask reinforcement learning
S Kelly, MI Heywood
Evolutionary computation 26 (3), 347-380, 2018
162018
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
142016
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
112014
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
72019
Temporal memory sharing in visual reinforcement learning
S Kelly, W Banzhaf
Genetic Programming Theory and Practice XVII, 101-119, 2020
52020
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
52017
Emergent Tangled Program Graphs in Multi-Task Learning.
S Kelly, MI Heywood
IJCAI, 5294-5298, 2018
42018
Scaling genetic programming to challenging reinforcement tasks through emergent modularity
S Kelly
42018
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
32020
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
32016
On developmental variation in hierarchical symbiotic policy search
S Kelly
12012
The Factory Must Grow: Automation in Factorio
KN Reid, I Miralavy, S Kelly, W Banzhaf, C Gondro
arXiv preprint arXiv:2102.04871, 2021
2021
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Articles 1–17