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Found 4 papers, 1 papers with code
Malleable Agents for Re-Configurable Robotic Manipulators
We propose a deep reinforcement learning agent with sequence neural networks embedded in the agent to adapt to robotic arms that have a varying number of links.
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
In practice, we have inaccurate knowledge of the system dynamics, which can lead to unsafe behaviors due to unmodeled residual dynamics.
DiffLoop: Tuning PID controllers by differentiating through the feedback loop
Since most industrial control applications use PID controllers, PID tuning and anti-windup measures are significant problems.
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
Based on these observations, we propose Pack and Detect (PaD), an approach to reduce the computational requirements of object detection in videos.
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