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Sahika Genc
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2020 – today
- 2022
- [i7]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 abs/2205.02953 (2022) - 2021
- [c18]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: 125-130 - [c17]Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya:
REPAINT: Knowledge Transfer in Deep Reinforcement Learning. ICML 2021: 10141-10152 - [i6]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 abs/2103.15332 (2021) - [i5]Vinay Hanumaiah, Sahika Genc:
Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control. CoRR abs/2110.13450 (2021) - 2020
- [c16]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: 2746-2754 - [c15]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: 361-395 - [c14]Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar:
Robust Multi-Agent Reinforcement Learning with Model Uncertainty. NeurIPS 2020 - [i4]Sahika Genc, Sunil Mallya, Sravan Bodapati, Tao Sun, Yunzhe Tao:
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. CoRR abs/2001.00605 (2020) - [i3]Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya:
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. CoRR abs/2011.11827 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1911.01562 (2019) - [i1]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 abs/1911.05370 (2019) - 2017
- [c13]Sahika Genc:
Parametric system identification using deep convolutional neural networks. IJCNN 2017: 2112-2119 - 2015
- [c12]Emrah Biyik
Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation. ACC 2015: 1683-1688 - [p1]Abhijit Patil, Rajesh Langoju, Suresh Joel, Bhushan D. Patil, Sahika Genc:
Biomedical Signal Analysis. Healthcare Data Analytics 2015: 127-185 - 2014
- [c11]Sahika Genc, Hullas Sehgal:
Distributed estimation of lumped parameters of multi-zone small-middle size commercial buildings with minimal observations & implementation. CCA 2014: 2003-2008 - [c10]Emrah Biyik
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: 2009-2015 - [c9]Hariharan Ravishankar, Aditya Saha, Gokul Swamy, Sahika Genc:
An early respiratory distress detection method with Markov models. EMBC 2014: 3438-3441 - [c8]Kalpit Desai, Michael Lexa, Brett Matthews, Sahika Genc:
Hemodynamic-impact-based prioritization of ventricular tachycardia alarms. EMBC 2014: 3456-3459 - [c7]Gregory Boverman
Prediction of mortality from respiratory distress among long-term mechanically ventilated patients. EMBC 2014: 3464-3467 - 2011
- [c6]Michael J. Krok, Sahika Genc:
A coordinated optimization approach to Volt/VAr control for large power distribution networks. ACC 2011: 1145-1150 - [c5]Sahika Genc:
Prediction of mean arterial blood pressure with linear stochastic models. EMBC 2011: 712-715 - [c4]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: 2216-2219 - [c3]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: 662-667
2000 – 2009
- 2009
- [j2]Sahika Genc, Stéphane Lafortune
Predictability of event occurrences in partially-observed discrete-event systems. Autom. 45(2): 301-311 (2009) - 2007
- [j1]Sahika Genc, Stéphane Lafortune
Distributed Diagnosis of Place-Bordered Petri Nets. IEEE Trans Autom. Sci. Eng. 4(2): 206-219 (2007) - 2006
- [b1]Sahika Genc:
On diagnosis and predictability of partially-observed discrete -event systems. University of Michigan, USA, 2006 - [c2]Sahika Genc, Stéphane Lafortune
Diagnosis of Patterns in Partially-Observed Discrete-Event Systems. CDC 2006: 422-427 - 2003
- [c1]Sahika Genc, Stéphane Lafortune
Distributed Diagnosis of Discrete-Event Systems Using Petri Nets. ICATPN 2003: 316-336
Coauthor Index
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