Update README.md

README.md

@@ -8,7 +8,7 @@ license: mit
 
 This repo contains the model weights for adapted temporal versions of the TransFuser++ model by Jaeger et. al. 2023. 
 
-These models were trained as part of a master's thesis titeled "*Temporal Fusion in Imitation-Based End-to-End Autonomous Driving*" at the Norwegian University of Science and Technology (NTNU).
+These models were trained as part of a master's thesis titeled "*Temporal Fusion in Imitation-Based End-to-End Autonomous Driving*" at the Norwegian University of Science and Technology (NTNU). The thesis will be linked when it becomes available.
 
 All model weights and checkpoint states can be found under "Files and versions".
 
@@ -29,7 +29,8 @@ All model weights and checkpoint states can be found under "Files and versions".
 |large-4x1        | 82.22     | 63.03     | 58.33     | 40.74     | 80.00     | **50.00** | **81.75** | 62.17     |
 |Default TF++     | 80.87     | 62.58     | 58.33     | 42.22     | 74.44     | 46.67     | 80.88     | 60.51     |
 
-DS = driving score \\
+DS = driving score
+
 SR = success rate
 
 Multi-ability metrics are defined by Bench2Drive [\[ArXiv\]](https://arxiv.org/abs/2406.03877).