Gradient-free Policy Architecture Search and Adaptation

16 October 2017

Papers citing "Gradient-free Policy Architecture Search and Adaptation"

10 / 10 papers shown

Title
Adversarial Representation Active Learning A. Mottaghi Serena Yeung VLM GAN 25 29 0 20 Dec 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 39 571 0 31 Mar 2019
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 16 89 0 16 Oct 2018
On Offline Evaluation of Vision-based Driving Models Felipe Codevilla Antonio M. López V. Koltun Alexey Dosovitskiy OffRL 20 102 0 13 Sep 2018
Conditional Affordance Learning for Driving in Urban Environments Axel Sauer Nikolay Savinov Andreas Geiger 18 186 0 18 Jun 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 37 224 0 25 Apr 2018
ES Is More Than Just a Traditional Finite-Difference Approximator Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 22 89 0 18 Dec 2017
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent Xingwen Zhang Jeff Clune Kenneth O. Stanley 28 57 0 18 Dec 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016