rwr video

ripl · Dec 2, 2024 · e3fb3c9 · e3fb3c9
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diff --git a/src/pages/index.mdx b/src/pages/index.mdx
@@ -48,7 +48,7 @@ export const components = {pre: CodeBlock, table: Table}
     },
     {
       name: "Kevin Yuanbo Wu",
-      institution: "MathWorks",
+      institution: "The University of Chicago",
       notes: ["*"],
     },
     {
@@ -164,6 +164,10 @@ We randomly sample frame triplets triplet (<LaTeX inline formula="(\mathcal{o}_{
 
 We compare PROGRESSOR with R3M and VIP by freezing the pre-trained models and using them as reward prediction models to train RWR-ACT on downstream robotic learning tasks. 
 
+<Video source="../video/progressor_demo.mp4" />
+
+### Zero-shot Reward Estimation for in-domain and out-domain videos
+
 <Figure caption="real-world experiments">
     <Image source={human} altText="real-world experiments" />
 </Figure>

diff --git a/videos/rwr_expts.mp4 b/videos/rwr_expts.mp4