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Imitation learning (IL) aims to mimic the behavior of an expert in a sequential decision making task by learning from demonstrations, and has been widely applied
Neural Information Processing Systems
Full experimental details are provided in Appendix C.
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STL: Still Tricky Logic (for System Validation, Even When Showing Y our Work) Isabelle Hurley
Neural Information Processing Systems
Previous work showed that despite claims of interpretability, humans are unable to use formal specifications presented in a variety of ways to validate even simple robot behaviors.
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Mixture of Experts Meets Prompt-Based Continual Learning Minh Le3 An Nguyen 2 Huy Nguyen 1 Trang Nguyen
Neural Information Processing Systems
However, current AI models often fail to retain this ability.
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