Title
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity Artavazd Maranjyan M. Safaryan Peter Richtárik 96 13 0 28 Oct 2022
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning Wei Qiu Xiao Ma Bo An S. Obraztsova Shuicheng Yan Zhongwen Xu 65 2 0 18 Oct 2022
REMS: Middleware for Robotics Education and Development Yusuke Tanaka Ankur M. Mehta 35 0 0 11 Oct 2022
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library Siyi Hu Yifan Zhong Minquan Gao Weixun Wang Hao Dong Xiaodan Liang Zhihui Li Xiaojun Chang Yaodong Yang 99 17 0 11 Oct 2022
Deep Inventory Management Dhruv Madeka Kari Torkkola Carson Eisenach Anna Luo Dean Phillips Foster Sham M. Kakade BDL 85 15 0 06 Oct 2022
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning Junwu Xiong Xiaoyun Feng Yunzhou Shi James Y. Zhang Zhongzhou Zhao Wei Zhou OffRL 63 0 0 06 Oct 2022
Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion Letian Fu Huang Huang Lars Berscheid Hui Li Ken Goldberg Sachin Chitta 90 18 0 04 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 76 7 0 03 Oct 2022
Mastering Spatial Graph Prediction of Road Networks Sotiris Anagnostidis Aurelien Lucchi Thomas Hofmann GNN 59 1 0 03 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss Christopher Koenig Alisa Rupenyan Andreas Krause 84 30 0 03 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning Kang Xu Yan Ma Wei Li 97 0 0 23 Sep 2022
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning J. Mianroodi N. Siboni Dierk Raabe AI4CE 57 3 0 22 Sep 2022
Deep Lake: a Lakehouse for Deep Learning S. Hambardzumyan Abhina Tuli Levon Ghukasyan Fariz Rahman Hrant Topchyan ... Mark McQuade M. Harutyunyan Tatevik Hakobyan I. Stranic Davit Buniatyan 90 20 0 22 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 78 5 0 21 Sep 2022
T3VIP: Transformation-based 3D Video Prediction Iman Nematollahi Erick Rosete-Beas Seyed Mahdi B. Azad Raghunandan Rajan Frank Hutter Wolfram Burgard VGen 98 1 0 19 Sep 2022
High Performance Dataframes from Parallel Processing Patterns Niranda Perera Supun Kamburugamuve Chathura Widanage V. Abeykoon A. Uyar Kaiying Shan Hasara Maithree Damitha Sandeepa Lenadora Thejaka Amila Kanewala Geoffrey C. Fox 35 5 0 13 Sep 2022
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control Pierrick Pochelu S. Petiton B. Conche AI4CE 60 2 0 30 Aug 2022
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters Pierrick Pochelu S. Petiton B. Conche AI4CE 64 3 0 30 Aug 2022
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking R. EshwarS Shishir Kolathaya Gugan Thoppe 42 0 0 22 Aug 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 87 15 0 17 Aug 2022
A Modular Framework for Reinforcement Learning Optimal Execution Fernando de Meer Pardo Christoph Auth F. Dascalu OffRL 94 0 0 11 Aug 2022
Reducing Exploitability with Population Based Training Pavel Czempin Adam Gleave AAML 63 6 0 10 Aug 2022
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization Yi-Wei Chen Chi Wang A. Saied Rui Zhuang 96 2 0 04 Aug 2022
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning Gaurav R. Bagwe Xianhao Chen Xiaoyong Yuan Lan Zhang 64 4 0 21 Jul 2022
Optimizing Data Collection in Deep Reinforcement Learning James Gleeson Daniel Snider Yvonne Yang Moshe Gabel Eyal de Lara Gennady Pekhimenko 57 1 0 15 Jul 2022
Learning robust marking policies for adaptive mesh refinement A. Gillette B. Keith S. Petrides 63 11 0 13 Jul 2022
Protea: Client Profiling within Federated Systems using Flower Wanru Zhao Xinchi Qiu Javier Fernandez-Marques Pedro Porto Buarque de Gusmão Nicholas D. Lane 48 6 0 03 Jul 2022
On-Device Training Under 256KB Memory Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 144 212 0 30 Jun 2022
NumS: Scalable Array Programming for the Cloud Melih Elibol Vinamra Benara Samyukta Yagati Lianmin Zheng Alvin Cheung Michael I. Jordan Ion Stoica 68 4 0 28 Jun 2022
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution Akash Amalan Rui Wang Yan Qiao E. Panaousis K. Liang FedML OOD 58 2 0 24 Jun 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine Jiayi Weng Min Lin Shengyi Huang Bo Liu Denys Makoviichuk ... Yufan Song Ting Luo Yukun Jiang Zhongwen Xu Shuicheng Yan MoE 107 63 0 21 Jun 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments Mohan Zhang Xiaozhou Wang Benjamin Decardi-Nelson Bo Song A. Zhang ... Jiayi Cheng Xiaohong Liu DengDeng Yu Matthew Poon Animesh Garg 69 4 0 17 Jun 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing Yuke Wang Boyuan Feng Ziyi Wang Tong Geng Ang Li Yufei Ding AI4CE 73 0 0 16 Jun 2022
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays Konstantin Mishchenko Francis R. Bach Mathieu Even Blake E. Woodworth 83 61 0 15 Jun 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 101 13 0 10 Jun 2022
Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks Christian Nauck M. Lindner Konstantin Schurholt Frank Hellmann 40 11 0 10 Jun 2022
AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility Marc Brittain Luis E. Alvarez Kara Breeden Ian Jessen 49 8 0 09 Jun 2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret Stephen Marcus McAleer Gabriele Farina Marc Lanctot Tuomas Sandholm 174 26 0 08 Jun 2022
Decentralized Training of Foundation Models in Heterogeneous Environments Binhang Yuan Yongjun He Jared Davis Tianyi Zhang Tri Dao Beidi Chen Percy Liang Christopher Ré Ce Zhang 123 97 0 02 Jun 2022
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis Jonathan Laurent André Platzer 95 9 0 27 May 2022
Impartial Games: A Challenge for Reinforcement Learning Bei Zhou Søren Riis 73 6 0 25 May 2022
Unified Distributed Environment Woong Gyu La Sunil Muralidhara Ling-Xue Kong Pratik Nichat 53 2 0 14 May 2022
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures Yongji Wu Matthew Lentz Danyang Zhuo Yao Lu 82 24 0 10 May 2022
Visualizing and Explaining Language Models Adrian M. P. Braşoveanu Razvan Andonie MILM VLM 96 5 0 30 Apr 2022
Watts: Infrastructure for Open-Ended Learning Aaron Dharna Charlie Summers Rohin Dasari Julian Togelius Amy K. Hoover 53 1 0 28 Apr 2022
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions Andrew Jesson A. Douglas P. Manshausen Maelys Solal N. Meinshausen P. Stier Y. Gal Uri Shalit CML 94 26 0 21 Apr 2022
Analysis of Workflow Schedulers in Simulated Distributed Environments Jakub Beránek Stanislav Böhm Vojtech Cima 13 1 0 14 Apr 2022
CapillaryX: A Software Design Pattern for Analyzing Medical Images in Real-time using Deep Learning Maged Abdalla Helmy Abdou Paulo Ferreira E. Jul T. Truong 51 1 0 13 Apr 2022
Scalable Training of Language Models using JAX pjit and TPUv4 Joanna Yoo Kuba Perlin Siddhartha Rao Kamalakara J. Araújo VLM 65 10 0 13 Apr 2022
Skyhook: Towards an Arrow-Native Storage System Jayjeet Chakraborty I. Jimenez Sebastiaan Alvarez Rodriguez Alexandru Uta J. LeFevre C. Maltzahn 22 6 0 12 Apr 2022