Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents

1 December 2019

Dong-hwan Lee

Niao He

Parameswaran Kamalaruban

Volkan Cevher

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Papers citing "Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents"

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Title
Matrix Low-Rank Approximation For Policy Gradient Methods Sergio Rozada A. Marques 64 2 0 27 May 2024
Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes Dong-hwan Lee Han-Dong Lim Don Wan Kim 15 0 0 31 Jul 2023
Cooperative Actor-Critic via TD Error Aggregation Martin Figura Yixuan Lin Ji Liu V. Gupta 63 1 0 25 Jul 2022
Distributed Evolution Strategies for Black-box Stochastic Optimization Xiaoyu He Zibin Zheng Chuan Chen Yuren Zhou Chuan Luo Qingwei Lin 51 5 0 09 Apr 2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I Jiaojiao Zhang Huikang Liu Anthony Man-Cho So Qing Ling 97 15 0 19 Jan 2022
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 24 3 0 25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 99 434 0 24 Nov 2021
Towards Learning Generalizable Driving Policies from Restricted Latent Representations Behrad Toghi Rodolfo Valiente Ramtin Pedarsani Y. P. Fallah 82 6 0 05 Nov 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 53 4 0 22 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees Siliang Zeng Tianyi Chen Alfredo García Mingyi Hong 92 11 0 11 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 132 60 0 28 Sep 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 65 23 0 05 Aug 2021
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits Gourab Ghatak Hardhik Mohanty Aniq Ur Rahman TTA 132 10 0 30 May 2021
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic Junyu Zhang Amrit Singh Bedi Mengdi Wang Alec Koppel 57 8 0 29 May 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 98 93 0 04 May 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 211 245 0 06 Nov 2020
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning Sihan Zeng Aqeel Anwar Thinh T. Doan A. Raychowdhury Justin Romberg 88 40 0 08 Jun 2020
Task-Oriented Data Compression for Multi-Agent Communications Over Bit-Budgeted Channels Arsham Mostaani T. Vu Symeon Chatzinotas Björn E. Ottersten 61 11 0 28 May 2020
Adaptive Temporal Difference Learning with Linear Function Approximation Tao Sun Han Shen Tianyi Chen Dongsheng Li 77 23 0 20 Feb 2020
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 61 15 0 07 Aug 2019