A little helper to calculate human normalized score for different ALE environments efficiently.
Project description
Atari HNS (Human Normalized Score)
Lightweight helper for computing Atari human-normalized scores (HNS) using published human and random baselines.
Installation
- From PyPI (once published):
pip install atarihns - From source: clone the repo and run
pip install .
Usage
from atarihns import get_human_score, get_random_score
from atarihns import calculate_hns, get_hns # alias
environment = "Pong-v5"
agent_score = 15.0
human = get_human_score(environment)
random = get_random_score(environment)
hns = calculate_hns(environment, agent_score)
print(f"{environment} human: {human}, random: {random}, hns: {hns:.3f}")
Notes
- Baseline scores for ALE environments are defined in
atarihns.constants.ATARI_SCORESas(random, human). - Helper functions raise
KeyErrorif an environment name is missing from the table.
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