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README.md
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@@ -43,11 +43,11 @@ The model was evaluated on the `PushT` environment from [gym-pusht](https://gith
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- Maximum overlap with target (seen as `eval/avg_max_reward` in the charts above). This ranges in [0, 1].
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- Success: whether or not the maximum overlap is at least 95%.
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Here are the metrics for 500 episodes worth of evaluation.
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<blank>|Ours|Theirs
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Average max. overlap ratio | 0.799 | 0.
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Success rate for 500 episodes (%) | 32.00 |
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The results of each of the individual rollouts may be found in [eval_info.json](eval_info.json).
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- Maximum overlap with target (seen as `eval/avg_max_reward` in the charts above). This ranges in [0, 1].
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- Success: whether or not the maximum overlap is at least 95%.
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Here are the metrics for 500 episodes worth of evaluation. The "Theirs" column is for an equivalent model from the experiments of original Diffusion Policy repository and evaluated on LeRobot (the model weights may be found in the original_dp_repo branch of this respository).
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<blank>|Ours|Theirs
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Average max. overlap ratio | 0.799 | 0.605
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Success rate for 500 episodes (%) | 32.00 | 17.00
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The results of each of the individual rollouts may be found in [eval_info.json](eval_info.json).
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