Update README.md

README.md

@@ -24,10 +24,6 @@ Rollout success rate (20 episodes, evaluated every 200 epochs):
 epoch to hit the run's peak) is the checkpoint used as the frozen base
 policy for downstream residual-RL experiments.
 
-This is a second, parallel base-policy lineage alongside a BC-RNN baseline
-trained on the same task/dataset, for a residual-RL project comparing how a
-heuristic-triggered SAC residual correction interacts with each base policy.
-
 Downloading a specific checkpoint:
 ```python
 from huggingface_hub import hf_hub_download