Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning
Abstract: Action repeat has become the de-facto mechanism in deep reinforcement learning (RL) for stabilizing training and enhancing exploration. Here, the action is taken at the action-decision point ...
Ten gifted dogs — including a Border collie named Basket and a Labrador named Augie — watched their owners hold a new toy and ...
As skeleton data becomes increasingly available, Graph Convolutional Networks (GCNs) are popularly adapted to extract the spatial and temporal features for skeleton-based action recognition. However, ...
Education began to receive treatment rather than sympathy. Diagnosis preceded declaration. Implementation followed intent.
From Vision to Impact: How the EdLeader Promise Network Is Advancing Deeper Learning and AI Strategy
AASA EdLeader Promise Network helps districts transform learner profiles into classroom practice through resources like the ...
The main novelty of the proposed approach in comparison to pre-defined AU graphs and deep learned facial display-specific graphs are illustrated in this figure. We provide tools for prepareing data in ...
The Minnesota daycare featured in viral YouTube fraud video has closed, state records confirm. Quality Learning Center became ...
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