From c998d2271a595e960360166c597e50529a969459 Mon Sep 17 00:00:00 2001
From: Josh Creek <8179928+jcreek@users.noreply.github.com>
Date: Tue, 28 Jul 2026 20:56:39 +0100
Subject: [PATCH] chore(*): Update todos

---
 TODO.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/TODO.md b/TODO.md
index 4072175c..a8fe77c1 100644
--- a/TODO.md
+++ b/TODO.md
@@ -12,7 +12,6 @@ The training pipeline is built — see `TRAINING.md` (self-play PPO via the vend
 - [ ] Frozen-opponent league: train the live policy against a *pool* of past exported checkpoints, sampled per-episode (today's `--opponent-mode=frozen` only supports one fixed model per run) to prevent self-play strategy collapse on long runs.
 - [ ] Richer state setter / curriculum: aerial states, wall plays, rebound scenarios as skill grows (beyond the score/defend/draw staging already in place).
 - [ ] Main-menu difficulty picker (Match already takes `bot_model_path`/`bot_reaction_ticks`/`bot_action_noise` exports).
-- [ ] Optional: exported headless Linux build for faster parallel training instances (train.py currently runs the project from source, which is fine but re-parses scripts per instance).
 
 ## Multiplayer (long term)