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Skip to Search Results- 2Human-in-the-loop
- 1Action advising
- 1Deep reinforcement learning
- 1Human Robot Interaction
- 1Semi-autonomy
- 1Uncalibrated Visual Servoing
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Fall 2022
Some real-world deployments of deep reinforcement learning (RL) may require a human-in-the-loop. Whether to ask-for-help, obtain new demonstrations and data, or handle out-of-distribution states, many methods rely on uncertainty estimates from a neural network to determine when to solicit a...
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Fall 2015
In today's world robots work well in structured environments, where they complete tasks autonomously and accurately. This is evident from industrial robotics. However, in unstructured and dynamic environments such as for instance homes, hospitals or areas affected by disasters, robots are still...