Duke University Researchers Propose Policy Stitching: A Novel AI Framework that Facilitates Robot Transfer Learning for Novel Combinations of Robots and Tasks

In robotics, researchers face challenges in using reinforcement learning (RL) to teach robots new skills, as these skills can be sensitive to changes in the environment and robot structure. Current methods need help generalizing to new combinations of robots and tasks and handling complex, real-world tasks due to architectural complexity and strong regularisation. To tackle […]

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