Genetic Programming Bibliography entries for Robert J Smith

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GP coauthors/coeditors: Ryan Amaral, Alexandru Ianta, Caleidgh Bayer, Malcolm Heywood, Stephen Kelly, Wolfgang Banzhaf, Nur Zincir-Heywood, John T Jacobs,

Genetic Programming Articles by Robert J Smith

Genetic Programming conference papers by Robert J Smith

  1. Ryan Amaral and Alexandru Ianta and Caleidgh Bayer and Robert Smith and Malcolm Heywood. Benchmarking Genetic Programming in a Multi-action Reinforcement Learning Locomotion Task. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 522-525, Boston, USA, 2022. Association for Computing Machinery. details

  2. Robert J. Smith and Ryan Amaral and Malcolm I. Heywood. Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 2061-2068, Krakow, Poland, 2021. details

  3. Caleidgh Bayer and Ryan Amaral and Robert Smith and Alexandru Ianta and Malcolm Heywood. Accelerating Tangled Program Graph Evolution under Visual Reinforcement Learning Tasks with Mutation and Multi-actions. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 1-19, East Lansing, USA, 2021. Springer. details

  4. Robert J. Smith and Malcolm I. Heywood. Evolving dota 2 shadow fiend bots using genetic programming with external memory. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 179-187, Prague, Czech Republic, 2019. ACM. Nominated for Best Paper. details

  5. Robert Smith and Malcolm Heywood. A Model of External Memory for Navigation in Partially Observative Visual Reinforcement Learning Tasks. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 162-177, Leipzig, Germany, 2019. Springer Verlag. details

  6. Robert J. Smith and Malcolm I. Heywood. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 345-366, East Lansing, MI, USA, 2019. Springer. details

  7. 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

  8. Robert J. Smith and Malcolm I. Heywood. Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 135-150, Parma, Italy, 2018. Springer Verlag. details

  9. Robert J. Smith and Malcolm I. Heywood. Coevolving Deep Hierarchies of Programs to Solve Complex Tasks. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1009-1016, Berlin, Germany, 2017. ACM. details

  10. Robert J. Smith and Ayse Nur Zincir-Heywood and Malcolm I. Heywood and John T. Jacobs. Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1095-1102, Denver, Colorado, USA, 2016. ACM. details

  11. 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