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RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads


Mar 04, 2021
James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko

* RL-Scope is an open-source tool available at https://github.com/UofT-EcoSystem/rlscope . Proceedings of the 4th MLSys Conference, 2021. Changes: camera ready for MLSys publication -- shorten abstract, add acknowledgements, minor grammar fixes 

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Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots


Feb 05, 2021
Srivatsan Krishnan, Zishen Wan, Kshitij Bharadwaj, Paul Whatmough, Aleksandra Faust, Sabrina Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi


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Quantized Reinforcement Learning (QUARL)


Oct 04, 2019
Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi

* Equal contribution from first three authors 

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Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller


Sep 29, 2019
Bardienus P. Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi


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The Role of Compute in Autonomous Aerial Vehicles


Jun 24, 2019
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi

* arXiv admin note: substantial text overlap with arXiv:1905.06388 

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Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots


Jun 09, 2019
Srivatsan Krishnan, Behzad Borojerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi


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MAVBench: Micro Aerial Vehicle Benchmarking


Jun 01, 2019
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi

* 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) 

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