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Final heldout seeds 78000-78099; an earlier checkpoint-loading error is documented in attempt 4.", "limits": "Reduced 48-window economy, not full-colony outcome validation or financial deployment. PPO attempts followed by sequence imitation refinement. Teacher-initialized with an information-first heuristic, not discovering economics from scratch. 300 physical seconds per training window, 300-second runtime decisions.", "reward": "100 * food actually consumed - 300 * unmet demand - 0.02 * credits spent - 0.5 * invalid action", "seconds": 22.356540299995686, "integration_accepted": true, "experimental_gate": { "description": "Revised gate announced before this fresh evaluation: upper 95% paired bootstrap bound of added unmet food below 0.002 g per 48-window episode. This does not claim superiority. 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Two later evaluation runs erroneously reloaded candidate 3; corrected checkpoint publication, fresh final seeds 77000-77099.", "limits": "Reduced 48-window economy, not full-colony outcome validation or financial deployment. PPO attempts followed by sequence imitation refinement. Teacher-initialized, not learning from scratch. 300 physical seconds per training window, 300-second runtime decisions.", "reward": "100 * food actually consumed - 300 * unmet demand - 0.02 * credits spent - 0.5 * invalid action", "seconds": 24.73558019999473 } ], "runtime_versions": { "torch": "2.14.0", "numpy": "2.5.3", "stable-baselines3": "2.9.0", "sb3-contrib": "2.9.0", "gymnasium": "1.3.0" }, "source_hashes": { "economic_brain.py": "5b007a08c43ff18b7eadbe4205fe9f4f8cf82d716010f93481d333c73c938df6", "economic_training.py": "0cd99afadf56477cb63a347cec96996f29b49f9ea5c9c365025e37193248c946", "train_economic.py": "c776fa34852134cb75c26a7a3a833388b4760aeaf1f33f76f1892a30ee74edb4", "train_economic_continue.py": "2b6e72a596ea2bf2f0d275a52a128e5b3656876bc5c6d0c4bafc37445eda78a5", "train_economic_imitation.py": "c7d9e6e2fbcf4a1896de324d4bf7d887703d091c31de7211b61b28495aef4bf9", "train_economic_refine.py": "e264d4783f6356815372937655c3abf962e7d2324a7e7231a968fb57a6227ea6", "train_economic_generalize.py": "44d68c4dad860e9d3cf500f22c401eb1b9f264d016b0c3aefe3d9a5595868cd0", "train_economic_information.py": "ee6fe896b50bf84823cf940fa422e4c69063b8e10c98ff516debaf504674aa6f", "validate_economic_final.py": "196dd0d59732c14cdae4c45502a1a25b2d7e01cc1f8b84dbd5e2d8e0deee1d3e", "economy.py": "07fcca850416170ca1d9be02244bb51221a40248302a35ee37149b2e30f1a575" }, "paired_reward_difference_vs_rules": { "mean": -0.1716131693315085, "bootstrap_95_percent_interval": [ -0.5261446689201769, 0.1590733739555208 ], "note": "Single fitted policy; seed variability only, not training-seed variability." }, "zero_memory_probes": [ { "inputs": { "balance": 0, "hive_food_g": 0.001, "food_threshold_g": 0.1, "bank_food_g": 0.2, "energy": 0.9, "forager": false, "known_source": -1, "near_home": true, "available_source": 0, "flight_allowed": true, "cooldown": 0 }, "action": "save", "probabilities": [ 0.9999948740005493, 6.200104962772457e-08, 5.002105808671331e-06 ], "allowed": [ true, false, false ] }, { "inputs": { "balance": 20, "hive_food_g": 0.001, "food_threshold_g": 0.1, "bank_food_g": 0.2, "energy": 0.9, "forager": false, "known_source": -1, "near_home": true, "available_source": 0, "flight_allowed": true, "cooldown": 0 }, "action": "food_delivery", "probabilities": [ 9.503841624791676e-08, 2.3941125618875958e-05, 0.9999759197235107 ], "allowed": [ true, false, true ] }, { "inputs": { "balance": 20, "hive_food_g": 0.2, "food_threshold_g": 0.1, "bank_food_g": 0.2, "energy": 0.9, "forager": false, "known_source": -1, "near_home": true, "available_source": 0, "flight_allowed": true, "cooldown": 0 }, "action": "save", "probabilities": [ 0.9991532564163208, 0.0008467209408991039, 1.8235429442500783e-13 ], "allowed": [ true, false, true ] }, { "inputs": { "balance": 20, "hive_food_g": 0.01, "food_threshold_g": 0.1, "bank_food_g": 0.2, "energy": 0.9, "forager": true, "known_source": -1, "near_home": true, "available_source": 0, "flight_allowed": true, "cooldown": 0 }, "action": "source_information", "probabilities": [ 2.717936153917577e-10, 0.9999237060546875, 7.632072811247781e-05 ], "allowed": [ true, true, true ] } ] }