Title
Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot Ali Parsaee Fahim Shahriar Chuxin He Ruiqing Tan OffRL 65 0 0 17 Mar 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies Zhouyu He Peng Qiao Rongchun Li Yong Dou Yusong Tan OffRL 64 0 0 27 Feb 2025
Provably Robust Federated Reinforcement Learning Minghong Fang Xilong Wang Neil Zhenqiang Gong FedML 72 0 0 12 Feb 2025
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation Baoqian Wang Junfei Xie Nikolay Atanasov 42 10 0 03 Jan 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 97 0 0 16 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 34 2 0 08 Nov 2024
QEDCartographer: Automating Formal Verification Using Reward-Free Reinforcement Learning Alex Sanchez-Stern Abhishek Varghese Zhanna Kaufman Dylan Zhang Talia Ringer Yuriy Brun 26 2 0 17 Aug 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 58 3 0 16 Aug 2024
Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions Amanda Jayanetti Saman K. Halgamuge Rajkumar Buyya 23 0 0 06 Aug 2024
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning Nicolò Dal Fabbro Arman Adibi Aritra Mitra George J. Pappas 47 1 0 29 Jul 2024
SAPG: Split and Aggregate Policy Gradients Jayesh Singla Ananye Agarwal Deepak Pathak OffRL OnRL 42 3 0 29 Jul 2024
MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning A. S. Nipu Siming Liu Anthony Harris 27 4 0 12 Feb 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 49 0 0 08 Feb 2024
High Throughput Training of Deep Surrogates from Large Ensemble Runs Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin AI4CE 27 5 0 28 Sep 2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges Ahmed Haj Yahmed Altaf Allah Abbassi Amin Nikanjam Heng Li Foutse Khomh OffRL 39 5 0 23 Aug 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 31 0 0 11 Jul 2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores Zhiyu Mei Wei Fu Jiaxuan Gao Guang Wang Huanchen Zhang Yi Wu OffRL LRM 40 5 0 29 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Vincent-Pierre Berges Andrew Szot Devendra Singh Chaplot Aaron Gokaslan Roozbeh Mottaghi Dhruv Batra Eric Undersander LRM LM&Ro 40 5 0 13 Jun 2023
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks Pablo Soldati E. Ghadimi Burak Demirel Yu Wang Raimundas Gaigalas Mathias Sintorn 22 3 0 09 Jun 2023
Learned spatial data partitioning Keizo Hori Yuya Sasaki Daichi Amagata Y. Murosaki Makoto Onizuka 18 3 0 08 Jun 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm Yunhao Tang Tadashi Kozuno Mark Rowland Anna Harutyunyan Rémi Munos Bernardo Avila-Pires Michal Valko 16 0 0 29 May 2023
Client Selection for Federated Policy Optimization with Environment Heterogeneity Zhijie Xie S. H. Song 35 3 0 18 May 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation Yifei Min Jiafan He Tianhao Wang Quanquan Gu 43 7 0 10 May 2023
FedHQL: Federated Heterogeneous Q-Learning Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer FedML 24 7 0 26 Jan 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 33 13 0 01 Dec 2022
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 43 0 0 23 Nov 2022
Simulation-Based Parallel Training Lucas Meyer Alejandro Ribés Bruno Raffin AI4CE 41 2 0 08 Nov 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning Shijie Han Siyuan Li Bo An Wei Zhao P. Liu 35 0 0 24 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation S. Mohamad H. Alamri A. Bouchachia 50 3 0 06 Oct 2022
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers Yan Wang Gautham Vasan A. R. Mahmood 54 15 0 05 Oct 2022
MAN: Multi-Action Networks Learning Keqin Wang Alison Bartsch A. Farimani 21 3 0 19 Sep 2022
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning Laura M. Smith Ilya Kostrikov Sergey Levine OffRL 26 103 0 16 Aug 2022
Parametrically Retargetable Decision-Makers Tend To Seek Power Alexander Matt Turner Prasad Tadepalli 20 18 0 27 Jun 2022
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays Konstantin Mishchenko Francis R. Bach Mathieu Even Blake E. Woodworth 23 59 0 15 Jun 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS Eleni Nisioti Matéo Mahaut Pierre-Yves Oudeyer Ida Momennejad Clément Moulin-Frier 27 9 0 10 Jun 2022
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning Pedro Cisneros-Velarde Boxiang Lyu Oluwasanmi Koyejo Mladen Kolar OffRL 34 3 0 31 May 2022
HyperTree Proof Search for Neural Theorem Proving Guillaume Lample Marie-Anne Lachaux Thibaut Lavril Xavier Martinet Amaury Hayat Gabriel Ebner Aurelien Rodriguez Timothée Lacroix AIMat 41 138 0 23 May 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 35 30 0 22 May 2022
Parallel bandit architecture based on laser chaos for reinforcement learning Takashi Urushibara N. Chauvet Satoshi Kochi S. Sunada Kazutaka Kanno Atsushi Uchida R. Horisaki Makoto Naruse 27 0 0 19 May 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 36 19 0 23 Mar 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 36 29 0 10 Feb 2022
Group-Agent Reinforcement Learning Kaiyue Wu Xiaoming Zeng OOD OffRL 22 3 0 10 Feb 2022
Faster Deep Reinforcement Learning with Slower Online Network Kavosh Asadi Rasool Fakoor Omer Gottesman Taesup Kim Michael L. Littman Alexander J. Smola OnRL 16 6 0 10 Dec 2021
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari Dominik Schmidt Thomas Schmied OffRL 28 12 0 19 Nov 2021
AI in Human-computer Gaming: Techniques, Challenges and Opportunities Qiyue Yin Jun Yang Kaiqi Huang Meijing Zhao Wancheng Ni Bin Liang Yan Huang Shu Wu Liangsheng Wang 23 20 0 15 Nov 2021
Human-Level Control without Server-Grade Hardware Brett Daley Chris Amato BDL OffRL 13 0 0 01 Nov 2021
Accelerating Distributed Deep Reinforcement Learning by In-Network Experience Sampling Masaki Furukawa Hiroki Matsutani OffRL 21 1 0 26 Oct 2021
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning Siyang Wu Tonghan Wang Chenghao Li Yang Hu Chongjie Zhang OffRL 29 1 0 15 Oct 2021
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations Chi Zhang S. Kuppannagari Viktor Prasanna OffRL 21 7 0 03 Oct 2021
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning Alix Lhéritier Nicolas Bondoux 21 5 0 01 Oct 2021