Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
Authors: Hongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
ICML 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We study the global convergence and global optimality of the actor-critic algorithm applied for the zero-sum two-player stochastic games in a decentralized manner. We prove that the sequence of joint policy generated by our decentralized linear algorithm converges to the minimax equilibrium at a sublinear rate O(K), where K is the number of iterations. To the best of our knowledge, we establish the global optimality and convergence of our decentralized actor-critic algorithm on zero-sum two-player stochastic games with linear function approximations for the ο¬rst time. |
| Researcher Affiliation | Academia | 1Northwestern University 2Princeton University. |
| Pseudocode | Yes | Algorithm 1 Decentralized Actor Critic on Zero-Sum Two-Player Stochastic Games |
| Open Source Code | No | The paper does not provide any statements about open-sourcing code or links to repositories. |
| Open Datasets | No | The paper focuses on theoretical analysis and does not mention using specific datasets for training or their availability. |
| Dataset Splits | No | The paper focuses on theoretical analysis and does not describe any training, validation, or test dataset splits. |
| Hardware Specification | No | The paper focuses on theoretical analysis and does not mention any specific hardware used for experiments. |
| Software Dependencies | No | The paper focuses on theoretical analysis and does not mention any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper focuses on theoretical analysis and does not describe any experimental setup details such as hyperparameters or training configurations. |