Title
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi MQ 44 26 0 02 Oct 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning Linxi Fan Yuke Zhu Jiren Zhu Zihua Liu Orien Zeng Anchit Gupta Joan Creus-Costa Silvio Savarese Li Fei-Fei OffRL GNN 82 3 0 27 Sep 2019
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Sophia Shao Krste Asanović Ion Stoica 81 101 0 20 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 79 28 0 06 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 77 98 0 03 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Prasanna Balaprakash Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 68 54 0 01 Sep 2019
Serverless Supercomputing: High Performance Function as a Service for Science Ryan Chard Tyler J. Skluzacek Zhuozhao Li Y. Babuji A. Woodard Ben Blaiszik S. Tuecke Ian Foster Kyle Chard LRM 54 34 0 14 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 120 436 0 11 Aug 2019
Single Point Transductive Prediction Nilesh Tripuraneni Lester W. Mackey 43 6 0 06 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 681 5,944 0 25 Jul 2019
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning Saeed Soori Bugra Can Mert Gurbuzbalaban M. Dehnavi GNN OffRL 33 4 0 19 Jul 2019
Privacy Preserving QoE Modeling using Collaborative Learning Selim Ickin K. Vandikas M. Fiedler 28 22 0 21 Jun 2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning Matthew A. Wright R. Horowitz 49 3 0 31 May 2019
Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes K. Choromanski Aldo Pacchiano Jack Parker-Holder Yunhao Tang 61 3 0 29 May 2019
Stochastic Inverse Reinforcement Learning Ce Ju 24 0 0 21 May 2019
Automatic Model Selection for Neural Networks David Laredo Yulin Qin O. Schütze Jianqiao Sun BDL 54 16 0 15 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 83 405 0 14 May 2019
Parsl: Pervasive Parallel Programming in Python Y. Babuji A. Woodard Zhuozhao Li Daniel S. Katz Ben Clifford ... Ryan Chard Justin M. Wozniak Ian Foster Michael Wilde Kyle Chard MoE 70 253 0 06 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 118 601 0 01 May 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 81 30 0 07 Apr 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer E. Beeching Christian Wolf J. Dibangoye Olivier Simonin OffRL LRM 76 25 0 03 Apr 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 81 193 0 27 Mar 2019
Guiding High-Performance SAT Solvers with Unsat-Core Predictions Daniel Selsam Nikolaj S. Bjørner NAI 92 122 0 12 Mar 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 55 42 0 07 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 76 20 0 01 Feb 2019
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers A. Koliousis Pijika Watcharapichat Matthias Weidlich Kai Zou Paolo Costa Peter R. Pietzuch 60 70 0 08 Jan 2019
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 91 56 0 27 Nov 2018
Learning data augmentation policies using augmented random search Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang 53 9 0 12 Nov 2018
Democratizing Production-Scale Distributed Deep Learning Minghuang Ma Hadi Pouransari Daniel Chao Saurabh N. Adya S. Serrano Yi Qin Dan Gimnicher Dominic Walsh MoE 96 6 0 31 Oct 2018
numpywren: serverless linear algebra Vaishaal Shankar K. Krauth Qifan Pu Eric Jonas Shivaram Venkataraman Ion Stoica Benjamin Recht Jonathan Ragan-Kelley 79 111 0 23 Oct 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 51 5 0 21 Oct 2018
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training Jiawen Liu Dong Li Gokcen Kestor Jeffrey S. Vetter 20 10 0 21 Oct 2018
POLO: a POLicy-based Optimization library Arda Aytekin Martin Biel M. Johansson 43 3 0 08 Oct 2018
Large batch size training of neural networks with adversarial training and second-order information Z. Yao A. Gholami Daiyaan Arfeen Richard Liaw Joseph E. Gonzalez Kurt Keutzer Michael W. Mahoney ODL 96 42 0 02 Oct 2018
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems Graham Gobieski Nathan Beckmann Brandon Lucia 67 207 0 28 Sep 2018
Robot_gym: accelerated robot training through simulation in the cloud with ROS and Gazebo Víctor Mayoral-Vilches A. Cordero A. Calvo I. Ugarte R. Kojcev 35 1 0 30 Aug 2018
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 225 905 0 13 Jul 2018
Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization Alexandre Laterre Yunguan Fu Mohamed Khalil Jabri A. Cohen David Kas Karl Hajjar T. Dahl Amine Kerkeni Karim Beguir 128 80 0 04 Jul 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 72 317 0 19 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 131 1,320 0 12 Mar 2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization Rui Zhu Di Niu Zongpeng Li 53 4 0 24 Feb 2018
The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations Bernd Malle Nicola Giuliani Peter Kieseberg Andreas Holzinger 17 8 0 11 Feb 2018
ZOOpt: Toolbox for Derivative-Free Optimization Yu-Ren Liu Yi-Qi Hu Hong Qian Chao Qian Yang Yu GP 59 28 0 31 Dec 2017
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 96 175 0 26 Dec 2017
Optimal Sub-sampling with Influence Functions Daniel Ting E. Brochu TDI 74 32 0 06 Sep 2017