Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Authors: Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This is a theoretical work that we do not foresee any potential negative societal impacts. |
| Researcher Affiliation | Academia | Gen Li UPenn Yuejie Chi CMU Yuting Wei UPenn Yuxin Chen UPenn |
| Pseudocode | Yes | Algorithm 1: Q-FTRL. Algorithm 2: Auxiliary function sampling i, h, πh = {πj,h}j [m] . |
| Open Source Code | No | Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [N/A] |
| Open Datasets | No | The paper is theoretical and does not involve empirical experiments with datasets. Thus, no training dataset information is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical experiments with datasets. Thus, no dataset split information for validation is provided. |
| Hardware Specification | No | The paper is theoretical and does not report on experimental hardware. The ethics statement indicates N/A for compute resources. |
| Software Dependencies | No | The paper is theoretical and does not report on software dependencies with specific version numbers for experimental reproducibility. The ethics statement indicates N/A for experimental details. |
| Experiment Setup | No | The paper is theoretical and does not provide specific experimental setup details such as hyperparameters or training configurations. The ethics statement indicates N/A for training details. |