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Varun Raj Kompella
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2020 – today
- 2023
- [j8]Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone:
Event Tables for Efficient Experience Replay. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j7]Peter R. Wurman
, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco
Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 602(7896): 223-228 (2022) - [i4]Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone:
Event Tables for Efficient Experience Replay. CoRR abs/2211.00576 (2022) - 2021
- [j6]Roberto Capobianco
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. J. Artif. Intell. Res. 71: 953-992 (2021) - [c9]Guni Sharon, James Ault, Peter Stone, Varun Raj Kompella, Roberto Capobianco:
Multiagent Epidemiologic Inference through Realtime Contact Tracing. AAMAS 2021: 1182-1190 - 2020
- [c8]Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone:
Reinforcement Learning for Optimization of COVID-19 Mitigation Policies. AI4SG@AAAI Fall Symposium 2020 - [i3]Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne
Reinforcement Learning for Optimization of COVID-19 Mitigation policies. CoRR abs/2010.10560 (2020)
2010 – 2019
- 2018
- [c7]Jan Freiwald, Mahdie Karbasi, Steffen Zeiler, Jan Melchior, Varun Raj Kompella, Laurenz Wiskott, Dorothea Kolossa:
Utilizing Slow Feature Analysis for Lipreading. ITG Symposium on Speech Communication 2018: 1-5 - 2017
- [j5]Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber:
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots. Artif. Intell. 247: 313-335 (2017) - [i2]Varun Raj Kompella, Laurenz Wiskott:
Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments. CoRR abs/1701.04663 (2017) - 2016
- [j4]Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Jürgen Schmidhuber:
Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. Neural Comput. 28(8): 1599-1662 (2016) - 2014
- [c6]Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber:
Explore to see, learn to perceive, get the actions for free: SKILLABILITY. IJCNN 2014: 2705-2712 - [c5]Varun Raj Kompella, Sohrob Kazerounian, Jürgen Schmidhuber:
An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning. SAB 2014: 176-187 - 2013
- [j3]Matthew D. Luciw, Varun Raj Kompella, Sohrob Kazerounian, Jürgen Schmidhuber:
An intrinsic value system for developing multiple invariant representations with incremental slowness learning. Frontiers Neurorobotics 7: 9 (2013) - 2012
- [j2]Varun Raj Kompella, Peter F. Sturm:
Collective-reward based approach for detection of semi-transparent objects in single images. Comput. Vis. Image Underst. 116(4): 484-499 (2012) - [j1]Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber:
Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams. Neural Comput. 24(11): 2994-3024 (2012) - [c4]Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Leo Pape, Jürgen Schmidhuber:
Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis. ICDL-EPIROB 2012: 1-8 - 2011
- [c3]Varun Raj Kompella, Leo Pape, Jonathan Masci, Mikhail Frank, Jürgen Schmidhuber:
AutoIncSFA and vision-based developmental learning for humanoid robots. Humanoids 2011: 622-629 - [c2]Varun Raj Kompella, Peter F. Sturm:
Detection and avoidance of semi-transparent obstacles using a collective-reward based approach. ICRA 2011: 3469-3474 - [c1]Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber:
Incremental Slow Feature Analysis. IJCAI 2011: 1354-1359 - [i1]Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber:
Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams. CoRR abs/1112.2113 (2011)
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