3 papers
cs.CV2023
MANUS: Markerless Grasp Capture using Articulated 3D Gaussians
Chandradeep Pokhariya, Ishaan N Shah, Angela Xing +4
Understanding how we grasp objects with our hands has important applications in areas like robotics and mixed reality. However, this challenging problem requires accurate modeling…
cs.CV2023
DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
Cheng-You Lu, Peisen Zhou, Angela Xing +8
Advances in neural fields are enabling high-fidelity capture of the shape and appearance of dynamic 3D scenes. However, their capabilities lag behind those offered by conventional…
cs.LG2021
Convergence of a Human-in-the-Loop Policy-Gradient Algorithm With Eligibility Trace Under Reward, Policy, and Advantage Feedback
Ishaan Shah, David Halpern, Kavosh Asadi +1
Fluid human-agent communication is essential for the future of human-in-the-loop reinforcement learning. An agent must respond appropriately to feedback from its human trainer even…