mlsanityData to 7 Oct 2026

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning

arXiv 1907.03053 ↗First posted 6 Jul 2019cs.LG cs.MA stat.MLcited by 16

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Abstract (arXiv)

This paper considers a distributed reinforcement learning problem in which a network of multiple agents aim to cooperatively maximize the globally averaged return through communication with only local neighbors. A randomized communication-efficient multi-agent actor-critic algorithm is proposed for possibly unidirectional communication relationships depicted by a directed graph. It is shown that the algorithm can solve the problem for strongly connected graphs by allowing each agent to transmit only two scalar-valued variables at one time.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jul 2019.

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Citing papers per year: 2021: 9; 2022: 4; 2023: 1; 2024: 1; 2025: 1.

16 papers.

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  1. 2021Distributed Learning in Wireless Networks: Recent Progress and Future Challengescited by 125
  2. 2021Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysiscited by 25
  3. 2021Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligencecited by 18
  4. 2021Adversarial attacks in consensus-based multi-agent reinforcement learningcited by 17
  5. 2021MDPGT: Momentum-based Decentralized Policy Gradient Trackingcited by 6
  6. 2024Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD updatecited by 3
  7. 2022One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learningcited by 2
  8. 2021DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learningcited by 1
  9. 2021Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximationcited by 1
  10. 2022Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Criticcited by 1
  11. 2025A Communication-Efficient Decentralized Actor-Critic Algorithmcited by 1
  12. 2021Event-Based Communication in Distributed Q-Learningcited by 0
4 more
  1. 2021Finite-Time Error Bounds for Distributed Linear Stochastic Approximationcited by 0
  2. 2022Robust Event-Driven Interactions in Cooperative Multi-Agent Learningcited by 0
  3. 2022Cooperative Actor-Critic via TD Error Aggregationcited by 0
  4. 2023Networked Communication for Decentralised Agents in Mean-Field Gamescited by 0