Petko Georgiev

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 18

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Publications

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 (2023)
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)
Peter C. 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)
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 (2022)
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 (2022)
Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Jirka Lhotka, Timothy O. 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 (2022)
Peter C. 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 (2022)
Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Felix Fischer, Petko Georgiev, Alex Goldin, Tim Harley, Felix Hill, Peter C. 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 (2021)
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 (2020)
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) (2019)
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) (2017)
Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu
Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading. MobiSys (2017)
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 (2017)
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) (2017)
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)
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN (2016)
Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources. MobiCom (2016)
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)
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)
Nicholas D. Lane, Petko Georgiev
Can Deep Learning Revolutionize Mobile Sensing? HotMobile (2015)
Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao
ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation. MobiSys (2015)
Petko Georgiev
Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices. MobiSys PhDForum (2015)
Nicholas D. Lane, Petko Georgiev, Lorena Qendro
DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp (2015)
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 (2014)
Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones. SenSys (2014)
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)
Petko Georgiev, Anastasios Noulas, Cecilia Mascolo
The Call of the Crowd: Event Participation in Location-Based Social Services. ICWSM (2014)
Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones. CoRR (2014)
Petko Georgiev, Anastasios Noulas, Cecilia Mascolo
The Call of the Crowd: Event Participation in Location-based Social Services. CoRR (2014)
Milen Chechev, Petko Georgiev
A Multi-view Content-Based User Recommendation Scheme for Following Users in Twitter. SocInfo (2012)