Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning

13 February 2023

Papers citing "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"

7 / 7 papers shown

Title
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity Calarina Muslimani Bram Grooten Deepak Ranganatha Sastry Mamillapalli Mykola Pechenizkiy D. Mocanu M. E. Taylor 43 0 0 10 Jun 2024
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning Chengqian Gao William de Vazelhes Hualin Zhang Bin Gu Zhiqiang Xu 46 0 0 02 May 2024
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu (Allen) Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 77 46 0 20 Feb 2022
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations Ke Sun Yingnan Zhao Shangling Jui Linglong Kong OOD 40 17 0 17 Sep 2021
Truly Sparse Neural Networks at Scale Selima Curci D. Mocanu Mykola Pechenizkiy 18 19 0 02 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 139 684 0 31 Jan 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 129 101 0 07 Jan 2021