Cadene
|
64b5920e94
|
format
|
2024-02-24 18:19:18 +00:00 |
|
Cadene
|
aed02dc7c6
|
Add multithreading for video generation, Speed policy sampling
|
2024-02-24 18:18:39 +00:00 |
|
Cadene
|
591985c67d
|
Fix done in pusht, Fix --time in sbatch
|
2024-02-22 17:58:26 +00:00 |
|
Cadene
|
63d18475cc
|
fix simxarm factory
|
2024-02-22 13:04:24 +00:00 |
|
Cadene
|
96c53ad06f
|
remove comments
|
2024-02-22 12:15:14 +00:00 |
|
Cadene
|
e3643d6146
|
Wandb works, One output dir
|
2024-02-22 12:14:12 +00:00 |
|
Cadene
|
ece89730e6
|
Add pusht dataset (TODO verify reward is aligned), Refactor visualize_dataset, Add video_dir, fps, state_dim, action_dim to config (Training works)
|
2024-02-21 00:49:40 +00:00 |
|
Cadene
|
3dc14b5576
|
Add Prod transform, Add test_factory
|
2024-02-20 14:22:16 +00:00 |
|
Cadene
|
3da6ffb2cb
|
Fix unit tests, Refactor, Add pusht env, (TODO pusht replay buffer, image preprocessing)
|
2024-02-20 12:26:57 +00:00 |
|
Cadene
|
fdfb2010fd
|
black
|
2024-02-18 01:24:19 +00:00 |
|
Cadene
|
a5c305a7a4
|
offline training + online finetuning converge to 33 reward!
|
2024-02-18 01:23:44 +00:00 |
|
Cadene
|
c202c2b3c2
|
Online finetuning runs (sometimes crash because of nans)
|
2024-02-16 15:13:24 +00:00 |
|
Cadene
|
228c045674
|
Eval reproduced! Train running (but not reproduced)
|
2024-02-10 15:46:24 +00:00 |
|
Cadene
|
5a5b190f70
|
Add common, refactor eval with eval_policy
|
2024-01-31 13:48:12 +00:00 |
|