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Add six ACT-GAZER clean-prior student models (teacher KL 0, student KL 0.01)

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  1. ACT-GAZER/gazer_distractor_strong-beat_block_hammer-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/dataset_stats.pkl +3 -0
  2. ACT-GAZER/gazer_distractor_strong-beat_block_hammer-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/policy_best.ckpt +3 -0
  3. ACT-GAZER/gazer_distractor_strong-beat_block_hammer-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_complete.json +7 -0
  4. ACT-GAZER/gazer_distractor_strong-beat_block_hammer-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_config.json +115 -0
  5. ACT-GAZER/gazer_distractor_strong-click_bell-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/dataset_stats.pkl +3 -0
  6. ACT-GAZER/gazer_distractor_strong-click_bell-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/policy_best.ckpt +3 -0
  7. ACT-GAZER/gazer_distractor_strong-click_bell-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_complete.json +7 -0
  8. ACT-GAZER/gazer_distractor_strong-click_bell-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_config.json +122 -0
  9. ACT-GAZER/gazer_distractor_strong-lift_pot-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/dataset_stats.pkl +3 -0
  10. ACT-GAZER/gazer_distractor_strong-lift_pot-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/policy_best.ckpt +3 -0
  11. ACT-GAZER/gazer_distractor_strong-lift_pot-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_complete.json +7 -0
  12. ACT-GAZER/gazer_distractor_strong-lift_pot-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_config.json +122 -0
  13. ACT-GAZER/gazer_distractor_strong-place_container_plate-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/dataset_stats.pkl +3 -0
  14. ACT-GAZER/gazer_distractor_strong-place_container_plate-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/policy_best.ckpt +3 -0
  15. ACT-GAZER/gazer_distractor_strong-place_container_plate-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_complete.json +7 -0
  16. ACT-GAZER/gazer_distractor_strong-place_container_plate-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_config.json +122 -0
  17. ACT-GAZER/gazer_distractor_strong-place_empty_cup-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/dataset_stats.pkl +3 -0
  18. ACT-GAZER/gazer_distractor_strong-place_empty_cup-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/policy_best.ckpt +3 -0
  19. ACT-GAZER/gazer_distractor_strong-place_empty_cup-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_complete.json +7 -0
  20. ACT-GAZER/gazer_distractor_strong-place_empty_cup-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_config.json +122 -0
  21. ACT-GAZER/gazer_distractor_strong-stack_bowls_two-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/dataset_stats.pkl +3 -0
  22. ACT-GAZER/gazer_distractor_strong-stack_bowls_two-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/policy_best.ckpt +3 -0
  23. ACT-GAZER/gazer_distractor_strong-stack_bowls_two-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_complete.json +7 -0
  24. ACT-GAZER/gazer_distractor_strong-stack_bowls_two-aloha_agilex-joint-two_stage_student-allcam-cleanprior-noteacherkl-0/training_config.json +122 -0
  25. README.md +2 -1
  26. manifest.json +192 -0
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  # Sigma_0: ACT-GAZER and DP-GAZER
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  | Family | Teacher prior | Tasks | Checkpoint |
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  |---|---|---:|---|
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  | ACT-GAZER | Gray-mask, all-camera | 6 | `policy_best.ckpt` |
 
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  | DP-GAZER-ATTN | Clean | 6 | `600.ckpt` |
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  | DP-GAZER-ATTN | Gray-mask | 6 | `600.ckpt` |
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+ 24 student policies for six RoboTwin tasks, trained with **teacher visual KL = 0** and **student visual KL = 0.01**, training seed 0.
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  | Family | Teacher prior | Tasks | Checkpoint |
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