Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability

17 March 2017

Papers citing "Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability"

50 / 80 papers shown

Title
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 54 0 0 08 Feb 2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation Lucas C. D. Bezerra Ataíde M. G. dos Santos Shinkyu Park 37 0 0 29 Dec 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 47 2 0 17 Oct 2024
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function Elissa Mhanna Mohamad Assaad 51 4 0 08 Oct 2024
Model Adaptation for Time Constrained Embodied Control Jaehyun Song Minjong Yoo Honguk Woo 42 0 0 17 Jun 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control Tong Liu Lei Lei Kan Zheng Xuemin X. Shen 38 6 0 19 Nov 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 39 14 0 25 May 2023
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations Keisuke Fujii Kazushi Tsutsui Atom Scott Hiroshi Nakahara Naoya Takeishi Yoshinobu Kawahara 29 6 0 22 May 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 29 10 0 15 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 31 13 0 06 Feb 2023
Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving Rodolfo Valiente Mahdi Razzaghpour Behrad Toghi Ghayoor Shah Y. P. Fallah 28 14 0 19 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 23 52 0 03 Nov 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning Pedro P. Santos Diogo S. Carvalho Miguel Vasco Alberto Sardinha Pedro A. Santos Ana Paiva Francisco S. Melo 21 1 0 12 Oct 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey Aleksandr Beznosikov Boris Polyak Eduard A. Gorbunov D. Kovalev Alexander Gasnikov 42 31 0 29 Aug 2022
Task Allocation with Load Management in Multi-Agent Teams Haochen Wu Amin Ghadami A. E. Bayrak J. Smereka B. Epureanu 24 8 0 17 Jul 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 29 24 0 05 May 2022
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes Harry Emerson Matt Guy Ryan McConville OffRL 29 46 0 07 Apr 2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents Jian Zhao Youpeng Zhao Weixun Wang Mingyu Yang Xu Hu Wen-gang Zhou Jianye Hao Houqiang Li 15 7 0 16 Mar 2022
Simultaneous Transport Evolution for Minimax Equilibria on Measures Carles Domingo-Enrich Joan Bruna 16 3 0 14 Feb 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities D. Kovalev Aleksandr Beznosikov Abdurakhmon Sadiev Michael Persiianov Peter Richtárik Alexander Gasnikov 35 34 0 06 Feb 2022
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic Rodolfo Valiente Behrad Toghi Ramtin Pedarsani Y. P. Fallah 63 55 0 02 Feb 2022
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain A. Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 24 25 0 12 Oct 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay R. Kumar 97 53 0 25 Sep 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 145 0 26 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad M. Guizani OffRL AI4TS 20 21 0 05 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 25 37 0 04 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 13 40 0 29 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 36 104 0 23 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Social Coordination and Altruism in Autonomous Driving Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 24 66 0 01 Jul 2021
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities Aleksandr Beznosikov Pavel Dvurechensky Anastasia Koloskova V. Samokhin Sebastian U. Stich Alexander Gasnikov 32 43 0 15 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 28 86 0 04 May 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments Lifeng Zhou Pratap Tokekar 34 43 0 02 May 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem Chengwei Zhang Shan Jin Wanli Xue Xiaofei Xie Shengyong Chen Rong Chen 34 24 0 22 Apr 2021
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models Daniel Willemsen M. Coppola Guido de Croon 8 30 0 05 Mar 2021
Decentralized Distributed Optimization for Saddle Point Problems Alexander Rogozin Alexander Beznosikov D. Dvinskikh D. Kovalev Pavel Dvurechensky Alexander Gasnikov 28 27 0 15 Feb 2021
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Qiang Zhang Tete Xiao Alexei A. Efros Lerrel Pinto Xiaolong Wang 17 62 0 17 Dec 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 27 9 0 29 Sep 2020
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation Yue Guan Qifan Zhang Panagiotis Tsiotras 9 7 0 01 Sep 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 33 174 0 24 Jul 2020
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning Oscar de Lima Hansal Shah Ting-Sheng Chu Brian Fogelson 29 11 0 18 Jun 2020
Cooperative Multi-Agent Reinforcement Learning with Partial Observations Yan Zhang Michael M. Zavlanos OffRL 30 22 0 18 Jun 2020
Macro-Action-Based Deep Multi-Agent Reinforcement Learning Yuchen Xiao Joshua Hoffman Chris Amato AI4CE 11 29 0 18 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control Tianshu Chu Sandeep P. Chinchali Sachin Katti 25 108 0 03 Apr 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 20 40 0 03 Mar 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 17 87 0 16 Feb 2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 18 121 0 14 Feb 2020