ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages

Andrew Jesson; Chris Lu; Gunshi Gupta; Nicolas Beltran-Velez; Angelos Filos; Jakob Nicolaus Foerster; Yarin Gal

2024 ICML ICML 2024

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Andrew Jesson, Chris Lu, Gunshi Gupta, Nicolas Beltran-Velez, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal

Topics

Machine Learning > Optimization & Theory > Bayesian Inference Reinforcement Learning > Methods > Deep RL Reinforcement Learning > Methods > Policy Learning

Keywords

thompson sampling spectral normalization actor critic relu dropout advantage estimates

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