feat(training): pair evaluations across physical sides

This commit is contained in:
Josh Creek
2026-08-08 14:55:12 +01:00
parent 57a298dc06
commit 33952b3cd0
2 changed files with 147 additions and 28 deletions
+85 -28
View File
@@ -2,8 +2,9 @@
Uses the same in-Godot inference path that ships in the game
(AIShipController + PolicyNetwork), so eval strength = in-game strength.
Episodes are golden-goal: first goal wins, timeout is a draw. Half the
episodes are played with sides swapped for fairness. Results are appended to
Episodes are golden-goal: first goal wins, timeout is a draw. Every randomized
starting state is played twice with sides swapped, so physical-team or arena
asymmetry cannot be mistaken for model strength. Results are appended to
eval_history.json — the bot-progress-over-time record.
Example:
@@ -47,9 +48,9 @@ def run_half(
f"--env_seed={seed}",
]
# Must match how each model was actually trained (see AIShipController's
# allow_vertical/allow_pitch_roll) — a curriculum stage 1/2 model never
# got a reward gradient on these axes, so leaving them unmasked here adds
# untrained aerial noise the model's own training never had to contend with.
# allow_vertical/allow_pitch_roll) — a grounded pre-generation-4 model
# never got a reward gradient on these axes, so leaving them unmasked here
# adds untrained aerial noise its training never had to contend with.
if grounded_a:
cmd += ["--eval_allow_vertical_a=false", "--eval_allow_pitch_roll_a=false"]
if grounded_b:
@@ -62,48 +63,95 @@ def run_half(
raise RuntimeError(f"No EVAL_RESULT in godot output:\n{result.stdout[-2000:]}\n{result.stderr[-2000:]}")
def evaluate_pair(
godot_bin: str,
model_a: str,
model_b: str,
episodes: int,
speedup: int,
seed: int,
grounded_a: bool = False,
grounded_b: bool = False,
) -> dict:
"""Replay one seeded state sequence with the models on opposite sides."""
if episodes < 2 or episodes % 2 != 0:
raise ValueError("--episodes must be an even number of at least 2 for paired side swaps")
episodes_per_side = episodes // 2
first = run_half(
godot_bin, model_a, model_b, episodes_per_side, speedup, seed,
grounded_a=grounded_a, grounded_b=grounded_b,
)
second = run_half(
godot_bin, model_b, model_a, episodes_per_side, speedup, seed,
grounded_a=grounded_b, grounded_b=grounded_a,
)
a_team_0 = {
"wins_a": first["goals_a"],
"wins_b": first["goals_b"],
"draws": first["draws"],
}
a_team_1 = {
"wins_a": second["goals_b"],
"wins_b": second["goals_a"],
"draws": second["draws"],
}
record = {
"timestamp": datetime.datetime.now(datetime.timezone.utc).isoformat(timespec="seconds"),
"model_a": model_a,
"model_b": model_b,
"seed": seed,
"episodes": first["episodes"] + second["episodes"],
"wins_a": a_team_0["wins_a"] + a_team_1["wins_a"],
"wins_b": a_team_0["wins_b"] + a_team_1["wins_b"],
"draws": a_team_0["draws"] + a_team_1["draws"],
"side_results": {
"a_team_0": a_team_0,
"a_team_1": a_team_1,
},
"physical_team_wins": {
"team_0": first["goals_a"] + second["goals_a"],
"team_1": first["goals_b"] + second["goals_b"],
},
}
record["win_rate_a"] = round(record["wins_a"] / record["episodes"], 3)
return record
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("model_a", help="Path to first exported policy .json")
parser.add_argument("model_b", help="Path to second exported policy .json")
parser.add_argument("--episodes", type=int, default=20, help="Total episodes (split across side swap)")
parser.add_argument(
"--episodes", type=int, default=20,
help="Total episodes; must be even so every seeded state is replayed with sides swapped",
)
parser.add_argument(
"--godot_bin",
default=os.environ.get("GODOT_BIN", DEFAULT_GODOT_MACOS),
help="Path to the Godot binary (or set GODOT_BIN)",
)
parser.add_argument("--speedup", type=int, default=16)
parser.add_argument("--seed", type=int, default=1, help="Seed for the paired starting-state sequence")
parser.add_argument("--history", default=str(TRAINING_DIR / "eval_history.json"))
parser.add_argument(
"--grounded-a", action="store_true", help="model_a was trained with locomotion masked (curriculum stages 1-2)"
"--grounded-a", action="store_true", help="model_a was trained with locomotion masked (pre-generation-4 models)"
)
parser.add_argument(
"--grounded-b", action="store_true", help="model_b was trained with locomotion masked (curriculum stages 1-2)"
"--grounded-b", action="store_true", help="model_b was trained with locomotion masked (pre-generation-4 models)"
)
args = parser.parse_args()
model_a = str(pathlib.Path(args.model_a).resolve())
model_b = str(pathlib.Path(args.model_b).resolve())
half = max(args.episodes // 2, 1)
# Half the episodes on each side to cancel any residual side asymmetry;
# different seeds so the halves see different randomized episode states.
# Groundedness is per physical model, so it swaps sides along with it.
first = run_half(args.godot_bin, model_a, model_b, half, args.speedup, seed=1,
grounded_a=args.grounded_a, grounded_b=args.grounded_b)
second = run_half(args.godot_bin, model_b, model_a, half, args.speedup, seed=2,
grounded_a=args.grounded_b, grounded_b=args.grounded_a)
record = {
"timestamp": datetime.datetime.now(datetime.timezone.utc).isoformat(timespec="seconds"),
"model_a": model_a,
"model_b": model_b,
"episodes": first["episodes"] + second["episodes"],
"wins_a": first["goals_a"] + second["goals_b"],
"wins_b": first["goals_b"] + second["goals_a"],
"draws": first["draws"] + second["draws"],
}
record["win_rate_a"] = round(record["wins_a"] / record["episodes"], 3)
try:
record = evaluate_pair(
args.godot_bin, model_a, model_b, args.episodes, args.speedup, args.seed,
grounded_a=args.grounded_a, grounded_b=args.grounded_b,
)
except ValueError as error:
parser.error(str(error))
history_path = pathlib.Path(args.history)
history = json.loads(history_path.read_text()) if history_path.exists() else []
@@ -115,6 +163,15 @@ def main():
f"{record['wins_a']}-{record['wins_b']} ({record['draws']} draws), "
f"win rate A = {record['win_rate_a']:.0%}"
)
a_team_0 = record["side_results"]["a_team_0"]
a_team_1 = record["side_results"]["a_team_1"]
physical = record["physical_team_wins"]
print(
f"Paired seed {record['seed']} side split: "
f"A as team 0 {a_team_0['wins_a']}-{a_team_0['wins_b']} ({a_team_0['draws']} draws); "
f"A as team 1 {a_team_1['wins_a']}-{a_team_1['wins_b']} ({a_team_1['draws']} draws); "
f"physical teams 0-1 = {physical['team_0']}-{physical['team_1']}"
)
print(f"Appended to {history_path}")