This repo stores .zip checkpoints and TensorBoard logs from vgc-bench. The training methods are described in VGC-Bench: Towards Mastering Diverse Team Strategies in Competitive Pokemon.

Repository Structure

results/ — Main benchmark results

Results from the main VGC-Bench experiments with varied team pool sizes.

  • saves_bc/ — Behavior cloning (BC) checkpoints
    • seed1/ — BC policy checkpoints (epochs 0–100)
  • logs_bc/ — BC TensorBoard logs
    • seed1/
  • saves_bc_sp/ — BC-initialized self-play (BCSP) checkpoints
    • reg_g/{1,4,16,64}_teams/seed1/ — BCSP checkpoints across team pool sizes
  • logs_bc_sp/ — BCSP TensorBoard logs
    • reg_g/{1,4,16,64}_teams/seed1_0/

results_<tournament>_finals/ — VGC tournament matchup results

Each directory contains results from training on a specific VGC tournament finals matchup, with team1.txt and team2.txt defining the two teams.

Directory Method Reg Teams
results_worlds_2024_finals/ BC + self-play, no mirrors g 2
results_atlanta_2025_finals/ BC + self-play, no mirrors g 2
results_euic_2025_finals/ BC + self-play, no mirrors g 2
results_san_antonio_2025_finals/ BC + self-play, no mirrors g 2
results_euic_2026_finals/ BC + self-play, no mirrors f 2

Each contains:

  • saves_bc_sp_xm/ — BCSP checkpoints (no mirror matches)
    • reg_{g,f}/{N}_teams/seed1/
  • logs_bc_sp_xm/ — TensorBoard logs
    • reg_{g,f}/{N}_teams/seed1_0/
  • team1.txt, team2.txt — Team strings for the matchup

Naming Conventions

  • bc — behavior cloning
  • sp — self-play
  • xm — excluding mirror matches
  • reg_g/reg_f — VGC regulation (e.g. Regulation G, Regulation F)

Usage

Checkpoints are Stable Baselines 3 .zip files loadable with:

from stable_baselines3 import PPO
model = PPO.load("path/to/checkpoint.zip")

See the vgc-bench README for full training and evaluation instructions.

Cite us

@inproceedings{anglissvgc,
  title={VGC-Bench: Towards Mastering Diverse Team Strategies in Competitive Pok{\'e}mon},
  author={Angliss, Cameron L and Cui, Jiaxun and Hu, Jiaheng and Rahman, Arrasy and Stone, Peter},
  booktitle={The 25th International Conference on Autonomous Agents and Multi-Agent Systems}
}
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