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SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization
Neural Information Processing Systems
In this paper, we investigate how to achieve stable and smooth skill chaining for long-horizon robotic manipulation tasks.
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Bayesian Strategic Classification Lee Cohen
Neural Information Processing Systems
Machine Learning critically relies on the assumption that the training data is representative of the unseen instances a learner faces at test time.
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Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
Neural Information Processing Systems
It is crucial to quantify the uncertainty of these dynamics models when using them for planning.
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Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
Neural Information Processing Systems
Modularity is a critical design principle for both software systems and artificial intelligence (AI).
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