Abstract: Dynamic Programming suffers from the curse of dimensionality due to large state and action spaces, a challenge further compounded by uncertainties in the environment. To mitigate these issue ...
Abstract: Standard imitation learning (IL) methods have achieved considerable success in robotics, yet often rely on the Markov assumption, which falters in long-horizon tasks where history is crucial ...
Existing zero-shot temporal action detection (ZS-TAD) methods predominantly use fully supervised or unsuper- vised strategies to recognize unseen activities. However, these training-based methods are ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Valid Time – when the medical measurement was actually taken. Transaction Time – when the record was inserted, updated, or logically deleted in the system. The system allows querying historical and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback