Search Results for author:
Found 2 papers, 1 papers with code
R-LAtte: Attention Module for Visual Control via Reinforcement Learning
Attention mechanisms are generic inductive biases that have played a critical role in improving the state-of-the-art in supervised learning, unsupervised pre-training and generative modeling for multiple domains including vision, language and speech.
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
Learning from demonstrations is a popular tool for accelerating and reducing the exploration requirements of reinforcement learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
