【DL輪読会】Spectral Normalisation for Deep Reinforcement Learning: An Optimisatio...Deep Learning JP
?
1. The document summarizes a paper on applying spectral normalization (SN) to deep reinforcement learning. SN improves stability and performance by constraining the width of parameter values.
2. Experiments on Atari games and MinAtar show that applying SN to intermediate layers of value functions outperforms baseline algorithms and expands the range of high-performing Adam hyperparameters.
3. The paper clarifies the relationship between SN and gradient calculation. Proposed methods that schedule learning rates or gradients based on parameter norms can achieve performance equivalent to SN without explicitly applying SN.
This document provides a summary and analysis of the book "The Boy Who Saved Baseball" by John H. Ritter. It summarizes the plot, characters, and gives insights from the reviewer such as enjoying how the town was saved by playing baseball and appreciating the description of characters. It also provides background on the author John H. Ritter and rates the book 5 out of 5 stars.
【DL輪読会】Spectral Normalisation for Deep Reinforcement Learning: An Optimisatio...Deep Learning JP
?
1. The document summarizes a paper on applying spectral normalization (SN) to deep reinforcement learning. SN improves stability and performance by constraining the width of parameter values.
2. Experiments on Atari games and MinAtar show that applying SN to intermediate layers of value functions outperforms baseline algorithms and expands the range of high-performing Adam hyperparameters.
3. The paper clarifies the relationship between SN and gradient calculation. Proposed methods that schedule learning rates or gradients based on parameter norms can achieve performance equivalent to SN without explicitly applying SN.
This document provides a summary and analysis of the book "The Boy Who Saved Baseball" by John H. Ritter. It summarizes the plot, characters, and gives insights from the reviewer such as enjoying how the town was saved by playing baseball and appreciating the description of characters. It also provides background on the author John H. Ritter and rates the book 5 out of 5 stars.