Aditya Rawal
Ph.D. Alumni
My primary research interests include biologically inspired Artificial Intelligence/Machine Learning. Inspired by complex socio-biological structures in nature, I am applying simultaneous cooperation and competition in artificial predator-prey teams. At NNRG, we have developed a new Neuro-evolution architecture called Multi-Component ESP to sustain co-evolutionary arms race in such predator-prey teams. Recently, our focus is to establish communication and construct language in artificial teams. This has applications in building better video-game bots, robotic teams as well as in the understanding of natural evolution of language. My other research interest include Computational Modeling of human brain.
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Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... To Appear In R. Kozma, C. Alippi, Y. Choe, and F. Morabito, editors, Artificial Intelligence in t... 2023

From Nodes to Networks: Evolving Recurrent Neural Networks Aditya Rawal, Risto Miikkulainen In H. Iba and N. Noman, editors, Deep Neural Evolution: Deep Learning with Evolutionary Computati... 2020

Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... In Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito, editors, Artificial ... 2019

Discovering Gated Recurrent Neural Network Architectures Aditya Rawal PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, 201... 2018

Evolving Deep LSTM-based Memory networks using an Information Maximization Objective Aditya Rawal and Risto Miikkulainen To Appear In Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA, 201... 2016

General Intelligence through Prolonged Evolution of Densely Connected Neural Networks Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver... 2014

Evolution of Communication in Mate Selection Aditya Rawal, Janette Boughman and Risto Miikkulainen To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulati... 2014

Using Both Latent and Supervised Shared Topics for Multitask Learning Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka In Proceedings of the European Conference on Machine Learning and Principles and Practice of Know... 2013

Using Both Latent and Supervised Shared Topics for Multitask Learning Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in ... 2013

Multiagent Learning through Neuroevolution Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, an... In J. Liu et al., editors, Advances in Computational Intelligence, LNCS 7311, 24-46, Berlin, ... 2012

Evolution of a Communication Code in Cooperative Tasks Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp In Artificial Life (13th International Conference on the Synthesis and Simulation of Living Syste... 2012

The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman and Kay E. Holekamp In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), Seo... 2011

Constructing Competitive and Cooperative Agent Behavior Using Coevolution Aditya Rawal, Padmini Rajagopalan and Risto Miikkulainen In IEEE Conference on Computational Intelligence and Games (CIG 2010), Copenhagen, Denmark, A... 2010