1 citations · 1 across the 3 of their papers we have counts for
3 papers
Optimal Learning Rate Schedule for Balancing Effort and Performance
Valentina Njaradi, Rodrigo Carrasco-Davis, Peter E. Latham +1
Learning how to learn efficiently is a fundamental challenge for biological agents and a growing concern for artificial ones. To learn effectively, an agent must regulate its learn…
Uncertainty Prioritized Experience Replay
Rodrigo Carrasco-Davis, Sebastian Lee, Claudia Clopath +1
Prioritized experience replay, which improves sample efficiency by selecting relevant transitions to update parameter estimates, is a crucial component of contemporary value-based…
Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis, Javier Masís, Andrew M. Saxe
Biological and artificial learning agents face numerous choices about how to learn, ranging from hyperparameter selection to aspects of task distributions like curricula. Understan…