Cadene
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ece89730e6
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Add pusht dataset (TODO verify reward is aligned), Refactor visualize_dataset, Add video_dir, fps, state_dim, action_dim to config (Training works)
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2024-02-21 00:49:40 +00:00 |
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Cadene
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3dc14b5576
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Add Prod transform, Add test_factory
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2024-02-20 14:22:16 +00:00 |
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Cadene
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3da6ffb2cb
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Fix unit tests, Refactor, Add pusht env, (TODO pusht replay buffer, image preprocessing)
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2024-02-20 12:26:57 +00:00 |
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Cadene
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fdfb2010fd
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black
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2024-02-18 01:24:19 +00:00 |
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Cadene
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a5c305a7a4
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offline training + online finetuning converge to 33 reward!
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2024-02-18 01:23:44 +00:00 |
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Cadene
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0b4084f0f8
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Clean + alpha beta corresponds to config (before 0.7 and 0.9)
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2024-02-16 16:27:54 +00:00 |
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Cadene
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0cdd23dcac
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Update README
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2024-02-16 15:14:59 +00:00 |
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Cadene
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c202c2b3c2
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Online finetuning runs (sometimes crash because of nans)
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2024-02-16 15:13:24 +00:00 |
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Cadene
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228c045674
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Eval reproduced! Train running (but not reproduced)
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2024-02-10 15:46:24 +00:00 |
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Cadene
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937b2f8cba
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Add option for random policy
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2024-01-31 13:54:32 +00:00 |
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Cadene
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5a5b190f70
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Add common, refactor eval with eval_policy
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2024-01-31 13:48:12 +00:00 |
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Cadene
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1e52499490
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eval.mp4 works!
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2024-01-30 23:30:14 +00:00 |
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Cadene
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1144819c29
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First real commit, simxarm env added with torchrl!
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2024-01-29 12:49:30 +00:00 |
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Cadene
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0396980450
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.gitignore
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2024-01-29 12:49:06 +00:00 |
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Cadene
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007ffa898f
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first commit
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2024-01-26 15:51:11 +00:00 |