Communicating with Robots
Task specification and effective communication of goals to robots are critical yet underrated challenges in robotics. Using sparse reward functions can simplify the learning process, while crowdsourcing annotations from collected data offers a scalable approach to derive these functions. This innovative method allows for the optimization of robot behavior through reinforcement learning, addressing the complexities that arise from untrained data areas.In this clip
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The Robot Brains Podcast
S3 E2 Stanford Prof Chelsea Finn: How to build AI that can keep up with an always changing world
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