Update README.md

README.md

@@ -5,6 +5,7 @@ tags:
 - world model
 - continuous control
 - robotics
+pipeline_tag: reinforcement-learning
 ---
 
 # Model Card for TD-MPC2
@@ -15,7 +16,7 @@ Official release of TD-MPC2 model checkpoints for the paper
 
 [Nicklas Hansen](https://nicklashansen.github.io), [Hao Su](https://cseweb.ucsd.edu/~haosu)\*, [Xiaolong Wang](https://xiaolonw.github.io)\* (UC San Diego)
 
-**Quick links:** [[Website]](https://www.tdmpc2.com) [[Paper]](https://openreview.net/pdf?id=Oxh5CstDJU)  [[OpenReview]](https://openreview.net/forum?id=Oxh5CstDJU) [[Models]](https://www.tdmpc2.com/models)  [[Dataset]](https://www.tdmpc2.com/dataset)
+**Quick links:** [[Website]](https://www.tdmpc2.com) [[Paper]](https://www.tdmpc2.com) [[Dataset]](https://www.tdmpc2.com/dataset)
 
 
 ## Model Details
@@ -26,7 +27,7 @@ We open-source a total of 324 TD-MPC2 model checkpoints, including 12 multi-task
 ### Model Description
 
 - **Developed by:** [Nicklas Hansen](https://nicklashansen.github.io) (UC San Diego)
-- **Model type:** 324 single-task and multi-task TD-MPC2 checkpoints trained on tasks from DMControl, Meta-World, Maniskill2, and MyoSuite.
+- **Model type:** TD-MPC2 models trained on tasks from DMControl, Meta-World, Maniskill2, and MyoSuite.
 - **License:** MIT
 
 ### Model Sources