Petko Georgiev

31 papers A* 3A 4Misc 3Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR 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
2022	A*	`conf`	A data-driven approach for learning to control computers. ICML Peter Conway Humphreys, David Raposo, Tobias Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Adam Santoro, Timothy P. Lillicrap
2022	J	`jnl`	A data-driven approach for learning to control computers. CoRR Peter Conway Humphreys, David Raposo, Toby Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Alex Goldin, Adam Santoro, Timothy P. Lillicrap
2022	J	`jnl`	Evaluating Multimodal Interactive Agents. CoRR 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
2022	J	`jnl`	Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback. CoRR 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
2022	A*	`conf`	Intra-agent speech permits zero-shot task acquisition. NeurIPS Chen Yan, Federico Carnevale, Petko Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Josh Abramson, Timothy P. Lillicrap, Gregory Wayne
2022	J	`jnl`	Intra-agent speech permits zero-shot task acquisition. CoRR Chen Yan, Federico Carnevale, Petko Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Josh Abramson, Timothy P. Lillicrap, Gregory Wayne
2021	J	`jnl`	Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. CoRR 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
2020	J	`jnl`	Imitating Interactive Intelligence. CoRR 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
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 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
2017	A	`conf`	Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading. MobiSys Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu
2017	J	`jnl`	Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Petko Georgiev, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo
2017	J	`jnl`	Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2017	J	`jnl`	StarCraft II: A New Challenge for Reinforcement Learning. CoRR 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
2016	—	`conf`	DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar
2016	—	`conf`	Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016	—	`conf`	Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016	A*	`conf`	LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources. MobiCom Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
2015	—	`conf`	An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2015	Misc	`conf`	Can Deep Learning Revolutionize Mobile Sensing? HotMobile Nicholas D. Lane, Petko Georgiev
2015	Misc	`conf`	DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp Nicholas D. Lane, Petko Georgiev, Lorena Qendro
2015	—	`conf`	Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices. MobiSys PhDForum Petko Georgiev
2015	—	`ed.`	Proceedings of the 2015 Workshop on Wireless of the Students, by the Students, & for the Students, S3@MobiCom 2015, Paris, France, September 11, 2015 S3 Puneet Jain, Petko Georgiev
2015	A	`conf`	ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation. MobiSys Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao
2014	J	`jnl`	DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones. CoRR Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
2014	Misc	`conf`	DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones. SenSys Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
2014	A	`conf`	The Call of the Crowd: Event Participation in Location-Based Social Services. ICWSM Petko Georgiev, Anastasios Noulas, Cecilia Mascolo
2014	J	`jnl`	The Call of the Crowd: Event Participation in Location-based Social Services. CoRR Petko Georgiev, Anastasios Noulas, Cecilia Mascolo
2014	A	`conf`	Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data. ICWSM Petko Georgiev, Anastasios Noulas, Cecilia Mascolo
2014	J	`jnl`	Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data. CoRR Petko Georgiev, Anastasios Noulas, Cecilia Mascolo
2012	—	`conf`	A Multi-view Content-Based User Recommendation Scheme for Following Users in Twitter. SocInfo Milen Chechev, Petko Georgiev