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12/06/2021
Distilled Domain Randomization
Deep reinforcement learning is an effective tool to learn robot control ...
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11/01/2021
Robot Learning from Randomized Simulations: A Review
The rise of deep learning has caused a paradigm shift in robotics resear...
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07/20/2021
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
Reinforcement learning methods for robotics are increasingly successful ...
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03/05/2020
Bayesian Domain Randomization for Sim-to-Real Transfer
When learning policies for robot control, the real-world data required i...
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03/03/2020
Underactuated Waypoint Trajectory Optimization for Light Painting Photography
Despite their abundance in robotics and nature, underactuated systems re...
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07/10/2019
