Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks
暂无分享,去创建一个
Malcolm I. Heywood | Wolfgang Banzhaf | Stephen Kelly | Robert J. Smith | W. Banzhaf | M. Heywood | Stephen Kelly
[1] Lorenz Huelsbergen,et al. Finding General Solutions to the Parity Problem by Evolving Machine-Language Representations , 2002 .
[2] Wolfgang Banzhaf,et al. Genetic Programming and Emergence , 2013, Genetic Programming and Evolvable Machines.
[3] K Ikeo,et al. Pax 6: mastering eye morphogenesis and eye evolution. , 1999, Trends in genetics : TIG.
[4] Malcolm I. Heywood,et al. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model , 2019, GPTP.
[5] Nikhil R. Pal,et al. A novel approach to design classifiers using genetic programming , 2004, IEEE Transactions on Evolutionary Computation.
[6] Malcolm I. Heywood,et al. A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks , 2019, EuroGP.
[7] I. Rojas,et al. Recursive prediction for long term time series forecasting using advanced models , 2007, Neurocomputing.
[8] Risto Miikkulainen,et al. Incremental Evolution of Complex General Behavior , 1997, Adapt. Behav..
[9] Lee Spector,et al. Tag-based modules in genetic programming , 2011, GECCO '11.
[10] Scott Brave,et al. The evolution of memory and mental models using genetic programming , 1996 .
[11] Jonghyun Lee,et al. An efficient GP approach to recognizing cognitive tasks from fNIRS neural signals , 2013, Science China Information Sciences.
[12] Malcolm I. Heywood,et al. Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review , 2010, EvoApplications.
[13] John R. Koza. Genetic Programming III - Darwinian Invention and Problem Solving , 1999, Evolutionary Computation.
[14] Cezary Z. Janikow,et al. A survey of modularity in genetic programming , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[15] Risto Miikkulainen,et al. Evolving Keepaway Soccer Players through Task Decomposition , 2003, GECCO.
[16] Marek Wydmuch,et al. ViZDoom Competitions: Playing Doom From Pixels , 2018, IEEE Transactions on Games.
[17] Lee Spector,et al. Genetic Programming and Autoconstructive Evolution with the Push Programming Language , 2002, Genetic Programming and Evolvable Machines.
[18] Guy Lever,et al. Human-level performance in 3D multiplayer games with population-based reinforcement learning , 2018, Science.
[19] HERBERT A. SIMON,et al. The Architecture of Complexity , 1991 .
[20] Anthony Brabazon,et al. A non-destructive grammar modification approach to modularity in grammatical evolution , 2011, GECCO '11.
[21] Astro Teller,et al. The evolution of mental models , 1994 .
[22] William B. Langdon,et al. Repeated Sequences in Linear Genetic Programming Genomes , 2005, Complex Syst..
[23] Wolfgang Banzhaf,et al. Hierarchical Genetic Programming using Local Modules , 2001 .
[24] Jordan B. Pollack,et al. Modular Interdependency in Complex Dynamical Systems , 2005, Artificial Life.
[25] Malcolm I. Heywood. Evolutionary model building under streaming data for classification tasks: opportunities and challenges , 2014, Genetic Programming and Evolvable Machines.
[26] Malcolm I. Heywood,et al. Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification , 2007, GECCO '07.
[27] Peter Nordin,et al. Evolution of a world model for a miniature robot using genetic programming , 1998, Robotics Auton. Syst..
[28] Zbigniew Michalewicz,et al. Time Series Forecasting for Dynamic Environments: The DyFor Genetic Program Model , 2007, IEEE Transactions on Evolutionary Computation.
[29] Wojciech Jaskowski,et al. ViZDoom: A Doom-based AI research platform for visual reinforcement learning , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[30] Malcolm I. Heywood,et al. Emergent Solutions to High-Dimensional Multitask Reinforcement Learning , 2018, Evolutionary Computation.
[31] Julian Francis Miller,et al. Recurrent Cartesian Genetic Programming of Artificial Neural Networks , 2016, Genetic Programming and Evolvable Machines.
[32] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[33] Wolfgang Banzhaf,et al. Rethinking multilevel selection in genetic programming , 2011, GECCO '11.
[34] Wolfgang Banzhaf,et al. A modular memory framework for time series prediction , 2020, GECCO.
[35] Victor Ciesielski,et al. Linear genetic programming , 2008, Genetic Programming and Evolvable Machines.
[36] Maxime Pelcat,et al. Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs , 2020, ArXiv.
[37] Lee Spector,et al. Tag-based modularity in tree-based genetic programming , 2012, GECCO '12.
[38] Riccardo Poli,et al. A Field Guide to Genetic Programming , 2008 .
[39] John R. Woodward,et al. Modularity in Genetic Programming , 2003, EuroGP.
[40] D. L. Parnas,et al. On the criteria to be used in decomposing systems into modules , 1972, Software Pioneers.
[41] Peter Stone,et al. Layered Learning in Multiagent Systems , 1997, AAAI/IAAI.
[42] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[43] Malcolm I. Heywood,et al. Evolving dota 2 shadow fiend bots using genetic programming with external memory , 2019, GECCO.
[44] Hervé Luga,et al. Evolving simple programs for playing atari games , 2018, GECCO.
[45] Andrew R. McIntyre,et al. Evolving GP Classifiers for Streaming Data Tasks with Concept Change and Label Budgets: A Benchmarking Study , 2015, Handbook of Genetic Programming Applications.
[46] Lee Spector,et al. Cultural transmission of information in genetic programming , 1996 .
[47] W. B. Langdon,et al. Genetic Programming and Data Structures , 1998, The Springer International Series in Engineering and Computer Science.
[48] Hübner,et al. Dimensions and entropies of chaotic intensity pulsations in a single-mode far-infrared NH3 laser. , 1989, Physical review. A, General physics.
[49] W. Gehring,et al. The homeobox in perspective. , 1992, Trends in biochemical sciences.
[50] Herbert A. Simon,et al. The Sciences of the Artificial , 1970 .
[51] Aram Galstyan,et al. Multitask learning and benchmarking with clinical time series data , 2017, Scientific Data.
[52] Marc Ebner,et al. Evolving Game State Features from Raw Pixels , 2017, EuroGP.
[53] H. Simon,et al. Near decomposability and the speed of evolution , 2002 .
[54] Leonardo Vanneschi,et al. Open issues in genetic programming , 2010, Genetic Programming and Evolvable Machines.
[55] William B. Langdon,et al. Repeated patterns in genetic programming , 2008, Natural Computing.
[56] Risto Miikkulainen,et al. Accelerated Neural Evolution through Cooperatively Coevolved Synapses , 2008, J. Mach. Learn. Res..
[57] P. Nordin,et al. Reactive and Memory-Based Genetic Programming for Robot Control , 1999, EuroGP.
[58] Malcolm I. Heywood,et al. Discovering Agent Behaviors Through Code Reuse: Examples From Half-Field Offense and Ms. Pac-Man , 2018, IEEE Transactions on Games.
[59] L. Glass,et al. Oscillation and chaos in physiological control systems. , 1977, Science.
[60] Uri Alon,et al. Varying environments can speed up evolution , 2007, Proceedings of the National Academy of Sciences.
[61] Peter J. Angeline,et al. Genetic programming and emergent intelligence , 1994 .
[62] Alexandros Agapitos,et al. Genetic Programming for the Induction of Seasonal Forecasts: A Study on Weather-derivatives , 2012 .
[63] Alan Blair,et al. Dynamically Defined Functions In Grammatical Evolution , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[64] Merav Parter,et al. Facilitated Variation: How Evolution Learns from Past Environments To Generalize to New Environments , 2008, PLoS Comput. Biol..
[65] Terence Soule,et al. Novel ways of improving cooperation and performance in ensemble classifiers , 2007, GECCO '07.
[66] Günter P. Wagner,et al. Complex Adaptations and the Evolution of Evolvability , 2005 .
[67] Kenneth A. De Jong,et al. Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents , 2000, Evolutionary Computation.
[68] Wolfgang Banzhaf,et al. Evolving Teams of Predictors with Linear Genetic Programming , 2001, Genetic Programming and Evolvable Machines.
[69] Justinian P. Rosca,et al. Discovery of subroutines in genetic programming , 1996 .
[70] Bernhard Schölkopf,et al. Recurrent Independent Mechanisms , 2021, ICLR.
[71] Wolfgang Banzhaf,et al. Temporal Memory Sharing in Visual Reinforcement Learning , 2019, GPTP.
[72] Peter Nordin,et al. Speech Sound Discrimination with Genetic Programming , 1998, EuroGP.
[73] Malcolm I. Heywood,et al. Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial , 2018, GPTP.
[74] Malcolm I. Heywood,et al. Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom , 2018, EuroGP.
[75] Malcolm I. Heywood,et al. Emergent Tangled Graph Representations for Atari Game Playing Agents , 2017, EuroGP.
[76] Julian Francis Miller,et al. The Automatic Acquisition, Evolution and Reuse of Modules in Cartesian Genetic Programming , 2008, IEEE Transactions on Evolutionary Computation.
[77] Malcolm I. Heywood,et al. Symbiosis, complexification and simplicity under GP , 2010, GECCO '10.