7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 7 cited
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
Jimmy T. H. Smith, Scott W. Linderman, David Sussillo
Recurrent neural networks (RNNs) are powerful models for processing time-series data, but it remains challenging to understand how they function. Improving this understanding is of…
cs.LG2019
All-Action Policy Gradient Methods: A Numerical Integration Approach
Benjamin Petit, Loren Amdahl-Culleton, Yao Liu +2
While often stated as an instance of the likelihood ratio trick [Rubinstein, 1989], the original policy gradient theorem [Sutton, 1999] involves an integral over the action space.…