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2020 – today
- 2023
[i11]Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre
, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals:
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR abs/2308.03526 (2023)- 2022
- [c16]Peter Conway Humphreys, David Raposo, Tobias Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Adam Santoro, Timothy P. Lillicrap:
A data-driven approach for learning to control computers. ICML 2022: 9466-9482 - [c15]Chen Yan, Federico Carnevale, Petko Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Josh Abramson, Timothy P. Lillicrap, Gregory Wayne:
Intra-agent speech permits zero-shot task acquisition. NeurIPS 2022 - [i10]Peter Conway Humphreys, David Raposo, Toby Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Alex Goldin, Adam Santoro, Timothy P. Lillicrap:
A data-driven approach for learning to control computers. CoRR abs/2202.08137 (2022) - [i9]Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Timothy P. Lillicrap, Alistair Muldal, Blake A. Richards, Adam Santoro, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan:
Evaluating Multimodal Interactive Agents. CoRR abs/2205.13274 (2022) - [i8]Chen Yan, Federico Carnevale, Petko Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Josh Abramson, Timothy P. Lillicrap, Gregory Wayne:
Intra-agent speech permits zero-shot task acquisition. CoRR abs/2206.03139 (2022) - [i7]Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Jirka Lhotka, Timothy P. Lillicrap, Alistair Muldal, George Powell, Adam Santoro, Guy Scully, Sanjana Srivastava, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback. CoRR abs/2211.11602 (2022) - 2021
- [i6]Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Felix Fischer, Petko Georgiev, Alex Goldin, Tim Harley, Felix Hill, Peter Conway Humphreys, Alden Hung, Jessica Landon, Timothy P. Lillicrap, Hamza Merzic, Alistair Muldal, Adam Santoro, Guy Scully, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. CoRR abs/2112.03763 (2021) - 2020
- [i5]Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Stephen Clark, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy P. Lillicrap, Kory W. Mathewson, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Imitating Interactive Intelligence. CoRR abs/2012.05672 (2020)
2010 – 2019
- 2019
- [j3]Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver:
Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 575(7782): 350-354 (2019) - 2017
- [j2]Petko Georgiev, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo:
Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 50:1-50:19 (2017) - [j1]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. 16(3): 82-88 (2017) - [c14]Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu:
Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading. MobiSys 2017: 306-318 - [i4]Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John P. Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy P. Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing:
StarCraft II: A New Challenge for Reinforcement Learning. CoRR abs/1708.04782 (2017) - 2016
- [c13]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar:
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN 2016: 23:1-23:12 - [c12]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN 2016: 61:1-61:2 - [c11]Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo:
LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources. MobiCom 2016: 320-333 - [c10]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) 2016: 109 - 2015
- [c9]Nicholas D. Lane, Petko Georgiev, Lorena Qendro:
DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp 2015: 283-294 - [c8]Petko Georgiev:
Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices. MobiSys PhDForum 2015: 9 - [c7]Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao:
ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation. MobiSys 2015: 273-286 - [c6]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys 2015: 7-12 - [c5]Nicholas D. Lane, Petko Georgiev:
Can Deep Learning Revolutionize Mobile Sensing? HotMobile 2015: 117-122 - [e1]Puneet Jain, Petko Georgiev:
Proceedings of the 2015 Workshop on Wireless of the Students, by the Students, & for the Students, S3@MobiCom 2015, Paris, France, September 11, 2015. ACM 2015, ISBN 978-1-4503-3701-4 [contents] - 2014
- [c4]Petko Georgiev, Anastasios Noulas, Cecilia Mascolo:
The Call of the Crowd: Event Participation in Location-Based Social Services. ICWSM 2014 - [c3]Petko Georgiev, Anastasios Noulas, Cecilia Mascolo:
Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data. ICWSM 2014 - [c2]Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo:
DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones. SenSys 2014: 295-309 - [i3]Petko Georgiev, Anastasios Noulas, Cecilia Mascolo:
Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data. CoRR abs/1403.7654 (2014) - [i2]Petko Georgiev, Anastasios Noulas, Cecilia Mascolo:
The Call of the Crowd: Event Participation in Location-based Social Services. CoRR abs/1403.7657 (2014) - [i1]Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo:
DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones. CoRR abs/1409.3206 (2014) - 2012
- [c1]Milen Chechev, Petko Georgiev:
A Multi-view Content-Based User Recommendation Scheme for Following Users in Twitter. SocInfo 2012: 434-447
Coauthor Index
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