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08/12/2021
A functional mirror ascent view of policy gradient methods with function approximation
We use functional mirror ascent to propose a general framework (referred...
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06/18/2019
Information matrices and generalization
This work revisits the use of information criteria to characterize the g...
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02/06/2019
Negative eigenvalues of the Hessian in deep neural networks
The loss function of deep networks is known to be non-convex but the pre...
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01/31/2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning
This paper proposes a new approach to representation learning based on g...
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11/27/2018
Understanding the impact of entropy on policy optimization
Entropy regularization is commonly used to improve policy optimization i...
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11/27/2018
