rwr

src/pages/index.mdx

@@ -157,7 +157,7 @@ In our simulated experiments, we used benchmark tasks from the Meta-World enviro
 ###  Real-World Robotic Experiments
 
 #### Pretraining on Kitchen Dataset
-We randomly sample frame triplets triplet (<LaTeX inline formula="(\mathcal{o}_{i}, \mathcal{o}_{j}, \mathcal{o}_{g})" />) from the videos ensuring a maximal frame gap <LaTeX inline formula="|i − g| ≤ 2000".
+We randomly sample frame triplets triplet (<LaTeX inline formula="(\mathcal{o}_{i}, \mathcal{o}_{j}, \mathcal{o}_{g})" />) from the videos ensuring a maximal frame gap <LaTeX inline formula="|i − g| ≤ 2000"/>.
 
 #### Real-World Few-Shot Offline Reinforcement Learning with Noisy Demonstrations