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Found 5 papers, 1 papers with code
Browsing behavior exposes identities on the Web
We demonstrate that we can re-identify 90% of the individuals in separate time slices of data.
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Overall, case studies demonstrated the effectiveness of ML models trained with different weather and time input features for ERCOT load forecasting.
Polybot: Training One Policy Across Robots While Embracing Variability
Reusing large datasets is crucial to scale vision-based robotic manipulators to everyday scenarios due to the high cost of collecting robotic datasets.
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Reinforcement learning (RL) algorithms hold the promise of enabling autonomous skill acquisition for robotic systems.
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Reinforcement learning has been applied to a wide variety of robotics problems, but most of such applications involve collecting data from scratch for each new task.
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