Sahika Genc

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 13

Top Topics

Vector Representation

Reinforcement Learning

Convolutional Neural Networks

Top Venues

Publications

Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul, Jean Oh, Eric Nyberg
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing. CoRR (2022)
Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar
Gated Transformer for Decoding Human Brain EEG Signals. EMBC (2021)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR (2021)
Vinay Hanumaiah, Sahika Genc
Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control. CoRR (2021)
Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya
REPAINT: Knowledge Transfer in Deep Reinforcement Learning. ICML (2021)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) (2020)
Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. ICRA (2020)
Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar
Robust Multi-Agent Reinforcement Learning with Model Uncertainty. NeurIPS (2020)
Sahika Genc, Sunil Mallya, Sravan Bodapati, Tao Sun, Yunzhe Tao
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. CoRR (2020)
Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. CoRR (2020)
Sunil Mallya, J. Marc Overhage, Sravan Bodapati, Navneet Srivastava, Sahika Genc
SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability. CoRR (2019)
Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. CoRR (2019)
Sahika Genc
Parametric system identification using deep convolutional neural networks. IJCNN (2017)
Emrah Biyik, James D. Brooks, Hullas Sehgal, Jigar Shah, Sahika Genc
Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation. ACC (2015)
Sahika Genc, Hullas Sehgal
Distributed estimation of lumped parameters of multi-zone small-middle size commercial buildings with minimal observations & implementation. CCA (2014)
Emrah Biyik, Sahika Genc, James D. Brooks
Model predictive building thermostatic controls of small-to-medium commercial buildings for optimal peak load reduction incorporating dynamic human comfort models: Algorithm and implementation. CCA (2014)
Gregory Boverman, Sahika Genc
Prediction of mortality from respiratory distress among long-term mechanically ventilated patients. EMBC (2014)
Hariharan Ravishankar, Aditya Saha, Gokul Swamy, Sahika Genc
An early respiratory distress detection method with Markov models. EMBC (2014)
Kalpit Desai, Michael Lexa, Brett Matthews, Sahika Genc
Hemodynamic-impact-based prioritization of ventricular tachycardia alarms. EMBC (2014)
Michael J. Krok, Sahika Genc
A coordinated optimization approach to Volt/VAr control for large power distribution networks. ACC (2011)
Sahika Genc
Prediction of mean arterial blood pressure with linear stochastic models. EMBC (2011)
Tarik Yardibi, Paul Cuddihy, Sahika Genc, Corey Bufi, Marjorie Skubic, Marilyn Rantz, Liang Liu, Calvin E. Phillips
Gait characterization via pulse-Doppler radar. PerCom Workshops (2011)
Sahika Genc, Daniel J. Cleary, Tarik Yardibi, Joseph C. Wood, Max E. Stachura, Elena V. Astapova
Continuous remote vital sign/environment monitoring for returning soldier adjustment assessment. EMBC (2011)
Sahika Genc, Stéphane Lafortune
Predictability of event occurrences in partially-observed discrete-event systems. Autom. 45 (2) (2009)
Sahika Genc, Stéphane Lafortune
Distributed Diagnosis of Place-Bordered Petri Nets. IEEE Trans Autom. Sci. Eng. 4 (2) (2007)
Sahika Genc, Stéphane Lafortune
Diagnosis of Patterns in Partially-Observed Discrete-Event Systems. CDC (2006)
Sahika Genc, Stéphane Lafortune
Distributed Diagnosis of Discrete-Event Systems Using Petri Nets. ICATPN (2003)