Cadene
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21670dce90
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Refactor train, eval_policy, logger, Add diffusion.yaml (WIP)
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2024-02-26 01:10:09 +00:00 |
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Cadene
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ed80db2846
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Sanitize cfg.env
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2024-02-25 12:02:29 +00:00 |
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Cadene
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598bb496b0
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Add policies/factory, Add test, Add _self_ in config
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2024-02-25 10:50:23 +00:00 |
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Cadene
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64b5920e94
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format
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2024-02-24 18:19:18 +00:00 |
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Cadene
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aed02dc7c6
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Add multithreading for video generation, Speed policy sampling
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2024-02-24 18:18:39 +00:00 |
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Cadene
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e3643d6146
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Wandb works, One output dir
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2024-02-22 12:14:12 +00:00 |
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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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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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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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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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