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Author SHA1 Message Date
CosmicClash Training Bot c51d5ee369 chore(training): generation 5 progress after 20260829-1649-gen5-s6-league 2026-08-31 07:24:53 +01:00
CosmicClash Training Bot 6d837b2bf3 chore(training): Add 20260829-1649-gen5-s6-league checkpoints, logs, and exported policy 2026-08-31 07:19:18 +01:00
5 changed files with 223 additions and 1 deletions
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Game/bots/20260829-1649-gen5-s6-league.json
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training/checkpoints/20260829-1649-gen5-s6-league/final.zip
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training/eval_history.json
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@@ -1224,5 +1224,86 @@
"team_1": 35
},
"win_rate_a": 0.53
},
{
"timestamp": "2026-08-31T06:21:58+00:00",
"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260829-1649-gen5-s6-league.json",
"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260828-0214-gen5-s5-intercepts-retry4.json",
"seed": 1,
"episodes": 100,
"wins_a": 32,
"wins_b": 51,
"draws": 17,
"side_results": {
"a_team_0": {
"wins_a": 17,
"wins_b": 24,
"draws": 9
},
"a_team_1": {
"wins_a": 15,
"wins_b": 27,
"draws": 8
}
},
"physical_team_wins": {
"team_0": 44,
"team_1": 39
},
"win_rate_a": 0.32
},
{
"timestamp": "2026-08-31T06:23:16+00:00",
"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260829-1649-gen5-s6-league.json",
"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260806-1939-curric-s3-gauntlet.json",
"seed": 1,
"episodes": 100,
"wins_a": 79,
"wins_b": 17,
"draws": 4,
"side_results": {
"a_team_0": {
"wins_a": 36,
"wins_b": 11,
"draws": 3
},
"a_team_1": {
"wins_a": 43,
"wins_b": 6,
"draws": 1
}
},
"physical_team_wins": {
"team_0": 42,
"team_1": 54
},
"win_rate_a": 0.79
},
{
"timestamp": "2026-08-31T06:24:53+00:00",
"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260829-1649-gen5-s6-league.json",
"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260816-2126-gen5-s4-handling-retry2.json",
"seed": 1,
"episodes": 100,
"wins_a": 60,
"wins_b": 31,
"draws": 9,
"side_results": {
"a_team_0": {
"wins_a": 30,
"wins_b": 16,
"draws": 4
},
"a_team_1": {
"wins_a": 30,
"wins_b": 15,
"draws": 5
}
},
"physical_team_wins": {
"team_0": 45,
"team_1": 46
},
"win_rate_a": 0.6
}
]
training/generation5_state.json
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@@ -1,6 +1,6 @@
{
"stage_index": 2,
"attempt": 0,
"attempt": 1,
"status": "in_progress",
"log": [
{
@@ -1194,6 +1194,146 @@
],
"reason": "Human override. Only miss across this and four earlier attempts was rollout/productive_air_touch_episode_fraction, against a 0.02 floor the stage's own comment flagged as PROVISIONAL and said to re-derive from attempt 1's tail -- that step was never done. Attempt 1 (20260824) already measured 0.00004, ~500x under the floor, and the next three attempts (0.00006, 0.00002, 0.00018) plus this one (0.00006) show no trend toward 0.02, just noise at the same order of magnitude. rollout/air_touch_fraction over this attempt's full run confirms the touches are real, just rare (22/1000 rollout-logging windows registered exactly one aerial touch in the ~100-episode buffer). Every other gate passed comfortably: goal_rate 0.7962 vs 0.72, upright_fraction 0.7778 vs 0.40, forward_motion_fraction 0.4935 vs 0.20, and the paired evaluation beat Stage 4 53-26-21 with balanced sides (29-11 as team 0, 24-15 as team 1). Floor lowered 0.02 -> 0.00002 (the minimum of the five measured attempts) in generation5.py so it now tests real regression instead of an unvalidated guess. Stage 6 resumes from this checkpoint."
}
},
{
"stage_index": 2,
"stage_number": 6,
"stage_name": "league",
"experiment": "20260829-1649-gen5-s6-league",
"attempt": 0,
"telemetry_tail": {
"rollout/air_touch_fraction": 0.00017999999597668648,
"rollout/airborne_fraction": 0.3739089041352272,
"rollout/ball_above_air_touch_fraction": 0.3883678091168404,
"rollout/ball_mean_altitude": 3.96513764667511,
"rollout/ball_peak_altitude": 5.15273362159729,
"rollout/ep_len_mean": 85.36497992706299,
"rollout/ep_rew_mean": 32.01152058982849,
"rollout/forward_motion_fraction": 0.43747518974542615,
"rollout/goal_rate": 0.8620399980545044,
"rollout/grounded_upright_fraction": 0.135359999936074,
"rollout/mean_altitude": 3.712577560424805,
"rollout/productive_air_touch_episode_fraction": 0.00013999999687075616,
"rollout/productive_air_touch_fraction": 0.00013999999687075616,
"rollout/upright_fraction": 0.7597616654634476,
"rollout/vertical_thrust_mean": 0.15780499794334174
},
"telemetry_failures": [
"rollout/productive_air_touch_episode_fraction=0.0001 < 0.0150"
],
"evaluation_goal_failures": [],
"side_balance_failures": [],
"eval": {
"timestamp": "2026-08-31T06:21:58+00:00",
"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260829-1649-gen5-s6-league.json",
"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260828-0214-gen5-s5-intercepts-retry4.json",
"seed": 1,
"episodes": 100,
"wins_a": 32,
"wins_b": 51,
"draws": 17,
"side_results": {
"a_team_0": {
"wins_a": 17,
"wins_b": 24,
"draws": 9
},
"a_team_1": {
"wins_a": 15,
"wins_b": 27,
"draws": 8
}
},
"physical_team_wins": {
"team_0": 44,
"team_1": 39
},
"win_rate_a": 0.32
},
"evals": [
{
"timestamp": "2026-08-31T06:21:58+00:00",
"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260829-1649-gen5-s6-league.json",
"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260828-0214-gen5-s5-intercepts-retry4.json",
"seed": 1,
"episodes": 100,
"wins_a": 32,
"wins_b": 51,
"draws": 17,
"side_results": {
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"wins_b": 24,
"draws": 9
},
"a_team_1": {
"wins_a": 15,
"wins_b": 27,
"draws": 8
}
},
"physical_team_wins": {
"team_0": 44,
"team_1": 39
},
"win_rate_a": 0.32
},
{
"timestamp": "2026-08-31T06:23:16+00:00",
"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260829-1649-gen5-s6-league.json",
"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260806-1939-curric-s3-gauntlet.json",
"seed": 1,
"episodes": 100,
"wins_a": 79,
"wins_b": 17,
"draws": 4,
"side_results": {
"a_team_0": {
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"wins_b": 11,
"draws": 3
},
"a_team_1": {
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"wins_b": 6,
"draws": 1
}
},
"physical_team_wins": {
"team_0": 42,
"team_1": 54
},
"win_rate_a": 0.79
},
{
"timestamp": "2026-08-31T06:24:53+00:00",
"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260829-1649-gen5-s6-league.json",
"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/20260816-2126-gen5-s4-handling-retry2.json",
"seed": 1,
"episodes": 100,
"wins_a": 60,
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"draws": 9,
"side_results": {
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},
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}
},
"physical_team_wins": {
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},
"win_rate_a": 0.6
}
],
"decision": "fail"
}
]
}
training/logs/20260829-1649-gen5-s6-league_0/events.out.tfevents.1788018578.ai.2015430.0
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