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05/17/2023
State Representation Learning Using an Unbalanced Atlas
The manifold hypothesis posits that high-dimensional data often lies on ...
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03/23/2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
With an ever-increasing number of sensors in modern society, spatio-temp...
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03/13/2023
Unsupervised Representation Learning in Partially Observable Atari Games
State representation learning aims to capture latent factors of an envir...
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08/29/2022
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
To improve the security and reliability of wind energy production, short...
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06/30/2022
Deep Reinforcement Learning with Swin Transformer
Transformers are neural network models that utilize multiple layers of s...
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03/02/2022
Improving the Diversity of Bootstrapped DQN via Noisy Priors
Q-learning is one of the most well-known Reinforcement Learning algorith...
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01/10/2022
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses
With the increased penetration of wind energy into the power grid, it ha...
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06/28/2021