Add zg6rezam multi-agent nightly checkpoint weights#476
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Nightly_MultiAgent run zg6rezam, checkpoint 4769 (control_vehicles, carla_combined, ReLU encoder, obs_slots_boundary_n=40, num_target_waypoints=3). Adds config.yaml, the model checkpoint, and trainer_state.pt under weights/zg6rezam/ following the existing weights/<name>/ convention. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Pull request overview
Adds a new multi-agent nightly checkpoint bundle under weights/zg6rezam/ so the project can load and (optionally) resume training from checkpoint 4769 using the existing weights/<name>/ layout.
Changes:
- Added
weights/zg6rezam/config.yamlcapturing the training/env/eval configuration used for the run. - Added checkpoint model weights
weights/zg6rezam/models/model_puffer_drive_004769.pt. - Added
weights/zg6rezam/trainer_state.ptto enable training resume from the checkpoint.
Reviewed changes
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| File | Description |
|---|---|
weights/zg6rezam/config.yaml |
Stores the run configuration associated with the zg6rezam nightly multi-agent checkpoint. |
weights/zg6rezam/models/model_puffer_drive_004769.pt |
Checkpointed model weights for step 4769. |
weights/zg6rezam/trainer_state.pt |
Trainer state snapshot to allow resuming training from the checkpoint. |
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Adds the *multi-agent nightly checkpoint to
weights/Run:
Nightly_MultiAgent/zg6rezam, checkpoint 4769Config:
control_vehicles,carla_combined, ReLU encoder,obs_slots_boundary_n=40,num_target_waypoints=3Wandb link: https://wandb.ai/emerge_/nightly-multi-agent/runs/zg6rezam