Model: legalaspro/HAPPO-smacv2_terran_5_vs_5-seed1
Author: legalaspro
Pipeline: reinforcement-learning
Library: marl-ppo-suite
Tags: marl-ppo-suite, tensorboard, reinforcement-learning, starcraft-mac, smacv2, happo, terran_5_vs_5, smacv2_terran_5_vs_5, license:mit, model-index, region:us
Card metadata: license: mit
library_name: marl-ppo-suite
tags: reinforcement-learning, starcraft-mac, smacv2, happo, terran_5_vs_5, smacv2_terran_5_vs_5
model-index: name: HAPPO on smacv2_terran_5_vs_5
results: task: type: reinforcement-learning
name: StarCraft Multi-Agent Challenge v2
dataset: name: terran_5_vs_5
type: smacv2
metrics: name: win-rate
type: win_rate
value: 0.447
verified: no, name: mean-reward
type: mean_reward
value: 11.18
verified: no, name: mean-ep-length
type: mean_episode_length
value: 40.2
verified: no
Likes: 0 | All-time downloads: 13
Created: 2025-05-12 21:16:29