{ "schema_version": "1", "skill_id": "gymrobotics-pointmaze-large-v3", "recorded_at": "2026-10-20T04:28:59.212990+00:00", "hub_commit": "09375f440444b84e5892864e9893de8232b5ddd3", "adapter_sha256": "0be729c3c9d081a880ea91257e87bd65f2f06ef319a5c4101b1f5431c82f8660", "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77", "archive_sha256": "3c675a90d800b7f1a48710051f106d6c4019f06d859aa928a5cd82e8be141890", "case_plan_sha256": "8abefc982ba705012f2f3a2d229816ac5b7693536ec14f02279ddcc6ddb5d254", "source_guards_sha256": "dff032943e0667b5017b40ad1faf01223ce928644ed097e191fb8795d19c69a3", "environment": { "runtime": "gymnasium-robotics", "runtime_version": "1.4.2", "robot": "point-mass", "controller": "grid_bfs_pd", "observation": "goal_dict", "os": "linux", "architecture": "x86_64", "python": "3.10" }, "packages": { "gymnasium": "1.2.0", "gymnasium-robotics": "1.4.2", "mujoco": "3.3.7", "numpy": "1.26.4" }, "cases": [ { "exit_code": 0, "result": { "schema_version": "1", "skill_id": "gymrobotics-pointmaze-large-v3", "status": "task_complete", "success": true, "outputs": { "achieved_goal": [ -3.578809473260543, -3.1183557053906363 ], "desired_goal": [ -3.615106643118065, -3.2295132380319025 ], "error_m": 0.1169336632563949, "steps": 870, "environment_success": true }, "checks": { "environment_goal": true, "finite_state": true, "bounded_steps": true }, "execution_domain": "simulation", "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77", "interface_version": "1", "hardware_execution": false }, "elapsed_seconds": 0.522, "stderr_tail": "AdroitHandRelocateDense-v1, AdroitHandHammerDense-v1, AdroitHandDoorDense-v1 environment's reward functions were updated in v1.2.1 without an environment version update. Therefore, use gymnasium-robotics==1.2.0 for v1 reproducibility or use v2 in gymnasium-robotics>=1.4.3. See https://github.com/Farama-Foundation/Gymnasium-Robotics/pull/220 for more details\n", "input": { "seed": 0 }, "passed": true }, { "exit_code": 0, "result": { "schema_version": "1", "skill_id": "gymrobotics-pointmaze-large-v3", "status": "task_complete", "success": true, "outputs": { "achieved_goal": [ 3.623216068172976, 0.8787012847102688 ], "desired_goal": [ 3.725231848162968, 0.8220798063598169 ], "error_m": 0.11667566660429722, "steps": 949, "environment_success": true }, "checks": { "environment_goal": true, "finite_state": true, "bounded_steps": true }, "execution_domain": "simulation", "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77", "interface_version": "1", "hardware_execution": false }, "elapsed_seconds": 0.532, "stderr_tail": "AdroitHandRelocateDense-v1, AdroitHandHammerDense-v1, AdroitHandDoorDense-v1 environment's reward functions were updated in v1.2.1 without an environment version update. Therefore, use gymnasium-robotics==1.2.0 for v1 reproducibility or use v2 in gymnasium-robotics>=1.4.3. See https://github.com/Farama-Foundation/Gymnasium-Robotics/pull/220 for more details\n", "input": { "seed": 1 }, "passed": true }, { "exit_code": 0, "result": { "schema_version": "1", "skill_id": "gymrobotics-pointmaze-large-v3", "status": "task_complete", "success": true, "outputs": { "achieved_goal": [ -4.504960361210645, -2.9089761137817933 ], "desired_goal": [ -4.600754428292938, -2.8428871297028597 ], "error_m": 0.11637979680662976, "steps": 1141, "environment_success": true }, "checks": { "environment_goal": true, "finite_state": true, "bounded_steps": true }, "execution_domain": "simulation", "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77", "interface_version": "1", "hardware_execution": false }, "elapsed_seconds": 0.542, "stderr_tail": "AdroitHandRelocateDense-v1, AdroitHandHammerDense-v1, AdroitHandDoorDense-v1 environment's reward functions were updated in v1.2.1 without an environment version update. Therefore, use gymnasium-robotics==1.2.0 for v1 reproducibility or use v2 in gymnasium-robotics>=1.4.3. See https://github.com/Farama-Foundation/Gymnasium-Robotics/pull/220 for more details\n", "input": { "seed": 2 }, "passed": true } ], "passed": 3, "failed": 0, "negative_unknown_field_rejected": true, "negative_source_drift_rejected": true, "hardware_execution": false, "scope": "Authored bounded simulation cases; not general accuracy or physical compatibility." }