Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks
Robots acting in human environments will often face new situations and can benefit from transferring prior experience. Priors could enable robots to handle new tasks zero-shot and help prevent failures, which can be particularly costly in real robot applications. Due to their interpretable nature, c