{
 "schema": "lift.study-d.cell.v1",
 "task": "Isaac-Lift-Franka",
 "isaaclab_commit": "ae37b028ea415c91ea2bc32609efcd759ed2b974",
 "backends": ["newton_mjwarp", "isaacsim_physx"],
 "seeds": [0],
 "num_envs": 4096,
 "max_iterations": 15000,
 "save_interval": 250,
 "agent": "FrankaPPORunnerCfg defaults (rsl_rl PPO, 512x256x128 ELU actor/critic, 32 steps/env/iteration, ADR curriculum)",
 "id": "l0-pilot",
 "declared": "2026-10-24, pilot approved by user; both backends trained side by side on one GPU",
 "question": "Can the stock EA lift task be learned in both backends at its default 15k budget, how fast does the curriculum progress, and how well do checkpoints along training transfer across backends? Sets the budget for further seeds.",
 "overrides": {}
}