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Dannibal/
ludus-boom-league

Name: ludus-boom-league
Availability: InStock

flax

reinforcement-learning

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Ludus Boom — self-play league agents

PPO agents for Boom, the real-time lane-battler of the Ludus competition platform (a deterministic pure-JAX engine: int32 fixed-point state, bit-identical replays, ~5M env-steps/s on one RTX 3090).

Files

file	what
`champion.msgpack`	current league champion (serialized Flax params)
`gen_0..4.msgpack`	the founding lineage — each promoted only by beating the previous champion in seat-swapped mirrored pairs with a Wilson 95% lower bound > 0.5
`standings.json`	full lineage with per-generation gate results and anchor win-rates
`league.jsonl`	append-only league event log (training, gates, promotions)

Architecture

ActorCritic from baselines/ppo_selfplay.py in the repo: two conv layers (24, 48, stride 2) over the 32×18 board observation + a dense branch for the vector observation, merged into a 256-unit trunk with a 2305-way masked action head (noop + card-slot × tile) and a value head.

Training protocol

Generational self-play league with CI-gated promotion. Each generation trains PPO (deck-randomized both seats — mixed decks fixed an earlier deck-specialist failure) and must beat the reigning champion with statistical significance to be promoted. Later generations add an elixir-overflow penalty (passivity bleeds reward) and opponent-pool training (half the updates vs frozen sampled past generations).

Founding lineage (win-rate vs previous champion; anchors vs scripted rule_v0):

gen	vs champion	vs rule_v0
0	founder	43.0%
1	85.2% (CI ≥ 80.3)	47.7%
2	71.9% (CI ≥ 66.1)	64.8%
3	64.1% (CI ≥ 58.0)	69.5%
4	promoted	~78%

Usage

python

from flax.serialization import from_bytes
from baselines.ppo_selfplay import ActorCritic   # github.com/SuuTTT/ludus
import jax, jax.numpy as jnp
from boom.engine import H, W, OBS_C, OBS_VEC

net = ActorCritic()
tmpl = net.init(jax.random.PRNGKey(0),
                jnp.zeros((1, H, W, OBS_C), jnp.float32),
                jnp.zeros((1, OBS_VEC), jnp.float32))
params = from_bytes(tmpl, open("champion.msgpack", "rb").read())

Or upload any of these files straight to a running Ludus platform's /submit page and fight them in the browser.

Boom is an original game: mechanics-inspired by the lane-battler genre with original names and art; numeric stats are unprotectable facts.

Dannibal/ludus-boom-league