Genetic Programming Bibliography entries for Stephen Kelly

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GP coauthors/coeditors: Peter Lichodzijewski, Malcolm Heywood, Robert J Smith, Wolfgang Banzhaf, Jacob Newsted, Cedric Gondro, Tatiana Voegerl,

Genetic Programming Articles by Stephen Kelly

  1. Stephen Kelly and Tatiana Voegerl and Wolfgang Banzhaf and Cedric Gondro. Evolving hierarchical memory-prediction machines in multi-task reinforcement learning. Genetic Programming and Evolvable Machines, 22(4):573-605, 2021. Special Issue: Highlights of Genetic Programming 2020 Events. details

  2. Stephen Kelly and Robert J. Smith and Malcolm I. Heywood and Wolfgang Banzhaf. Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. ACM Transactions on Evolutionary Learning and Optimization, 1(3) 2021. details

  3. Stephen Kelly and Malcolm I. Heywood. Emergent Solutions to High-Dimensional Multi-Task Reinforcement Learning. Evolutionary Computation, 26(3):347-380, 2018. details

  4. Stephen Kelly and Malcolm I. Heywood. Discovering Agent Behaviours through Code Reuse: Examples from Half-Field Offense and Ms. Pac-Man. IEEE Transactions on Games, 10(2):195-208, 2018. details

Genetic Programming PhD doctoral thesis Stephen Kelly

Genetic Programming conference papers by Stephen Kelly

  1. Stephen Kelly and Jacob Newsted and Wolfgang Banzhaf and Cedric Gondro. A Modular Memory Framework for Time Series Prediction. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 949-957, internet, 2020. Association for Computing Machinery. details

  2. Stephen Kelly and Wolfgang Banzhaf. Temporal Memory Sharing in Visual Reinforcement Learning. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 101-119, East Lansing, MI, USA, 2019. Springer. details

  3. Stephen Kelly and Robert J. Smith and Malcolm I. Heywood. Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 37-57, Ann Arbor, USA, 2018. Springer. details

  4. Stephen Kelly and Malcolm I. Heywood. Multi-task Learning in Atari Video Games with Emergent Tangled Program Graphs. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 195-202, Berlin, Germany, 2017. ACM. details

  5. Stephen Kelly and Malcolm I. Heywood. Emergent Tangled Graph Representations for Atari Game Playing Agents. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 64-79, Amsterdam, 2017. Springer Verlag. best paper. details

  6. Robert J. Smith and Stephen Kelly and Malcolm Heywood. Discovering Rubik's Cube Subgroups using Coevolutionary GP -- A Five Twist Experiment. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 789-796, Denver, USA, 2016. ACM. details

  7. Stephen Kelly and Malcolm I. Heywood. Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1143-1150, Madrid, Spain, 2015. ACM. details

  8. Stephen Kelly and Malcolm I. Heywood. On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 75-86, Granada, Spain, 2014. Springer. details

  9. Stephen Kelly and Peter Lichodzijewski and Malcolm I. Heywood. On Run Time Libraries and Hierarchical Symbiosis. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 3278-3285, Brisbane, Australia, 2012. details