Jack Monas
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import streamlit as st
def main():
st.set_page_config(page_title="World Model Challenge", layout="wide")
st.title("World Model Challenge")
st.markdown("### Welcome")
st.write(
"Welcome to the World Model Challenge server. This platform hosts three interrelated challenges "
"designed to advance research in world models for robotics: Compression, Sampling, and Evaluation."
)
st.markdown("### Motivation")
st.write(
"Real-world robotics faces a fundamental challenge: environments are dynamic and change over time, "
"making consistent evaluation of robot performance difficult. World models offer a solution by "
"learning to simulate complex real-world interactions from raw sensor data. We believe these learned simulators will enable"
"robust evaluation and iterative improvement of robot policies without the constraints of a physical testbed."
)
st.markdown("### The Challenges")
st.markdown("#### Compression Challenge")
st.write(
"The Compression Challenge focuses on minimizing training loss over a diverse robot dataset. "
"By effectively compressing and understanding the data, the challenge aims to measure how well a model "
"can capture the complexities of real-world robot interactions. A lower loss indicates a better grasp "
"of the underlying data."
)
st.markdown("#### Sampling Challenge")
st.write(
"Sampling focuses on generating realistic future outcomes in video sequences by predicting the next"
"frame given a sequence of prior frames. The goal is to produce coherent and plausible continuations"
"of the video, accurately reflecting the dynamics of the scene. "
)
st.markdown("#### Evaluation Challenge")
st.write(
"The Evaluation Challenge tackles the ultimate question: Can you predict a robot's performance in the real world "
"without physically deploying it? In this challenge, participants are tasked with ranking a set of robot policies based solely on simulation data."
"These rankings will be compared to the real-world performance of the policies to determine a winner."
)
if __name__ == '__main__':
main()