"MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent ..."

Stephanie Milani et al. (2022)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2205.12449

access: open

type: Informal or Other Publication

metadata version: 2024-02-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2205-12449
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2205-12449
Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang:
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning. CoRR abs/2205.12449 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.