Upload folder using huggingface_hub

README.md

@@ -30,7 +30,7 @@ The model was evaluated on the `PushT` environment from [gym-pusht](https://gith
 - Maximum overlap with target (seen as `eval/avg_max_reward` in the charts above). This ranges in [0, 1].
 - Success: whether or not the maximum overlap is at least 95%.
 
-Here are the metrics for 500 episodes worth of evaluation. For the succes rate we add and extra row with confidence bounds. This assumes a uniform prior over success probability and computes the beta posterior, then calculates the mean and lower/upper confidence bounds (with a 68.2% confidence interval centered on the mean).
+Here are the metrics for 500 episodes worth of evaluation. For the succes rate we add an extra row with confidence bounds. This assumes a uniform prior over success probability and computes the beta posterior, then calculates the mean and lower/upper confidence bounds (with a 68.2% confidence interval centered on the mean).
 
 <blank>|Ours|Theirs
 -|-|-