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Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning., , , , and . J. Artif. Intell. Res., (2022)Incremental Learning via Rate Reduction., , , and . CoRR, (2020)Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots., , , and . ICRA, page 7189-7195. IEEE, (2018)In vitro molecular machine learning algorithm via symmetric internal loops of DNA., , , , , , , and . Biosyst., (2017)Assessing Generalization of SGD via Disagreement., , , and . ICLR, OpenReview.net, (2022)Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning., , , , , , , , , and . AAAI, page 8208-8209. AAAI Press, (2018)Predicting the Performance of Foundation Models via Agreement-on-the-Line., , , , , and . CoRR, (2024)Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift., , , and . NeurIPS, (2022)Efficient Maximal Coding Rate Reduction by Variational Forms., , , , , and . CVPR, page 490-498. IEEE, (2022)Incremental Learning via Rate Reduction., , , and . CVPR, page 1125-1133. Computer Vision Foundation / IEEE, (2021)