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rr-drive-4p-v1-p2
vlabki/rr-drive-4p-v1-p2
rr-drive-4p-v1-p2 is a reinforcement learning model from vlabki. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
Self-contained recurrent player-policy checkpoint.
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2.6 MB on disk
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At a glance
- Task
- Reinforcement Learning
- Library
- pytorch
- Model type
- rr_player_recurrent_bc
- Access
- Public
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026
- SHA
- d88a92bd
Model card
From the Hugging Face model README
vlabki/rr-drive-4p-v1-p2
Self-contained recurrent player-policy checkpoint.
- Source directory:
daisy_mach_bike
Files
Runtime weights, model config, normalization statistics, route reference, training config, and portable checksummed fallbacks are included. Raw rollout traces, optimizer state, and full training logs are excluded.
- Task
- Reinforcement Learning
- Library
- pytorch
- Type
- rr_player_recurrent_bc
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026