Hyperspherical Normalization for Scalable Deep Reinforcement Learning

21 February 2025

Papers citing "Hyperspherical Normalization for Scalable Deep Reinforcement Learning"

26 / 76 papers shown

Title
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? Keita Ota Tomoaki Oiki Devesh K. Jha T. Mariyama D. Nikovski OffRL 47 41 0 03 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 210 18,607 0 13 Feb 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 88 973 0 12 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 449 4,662 0 23 Jan 2020
Observational Overfitting in Reinforcement Learning Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur OffRL 60 139 0 06 Dec 2019
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity Aditya Bhatt Daniel Palenicek Boris Belousov Max Argus Artemij Amiranashvili Thomas Brox Jan Peters 74 48 0 14 Feb 2019
Learning agile and dynamic motor skills for legged robots Jemin Hwangbo Joonho Lee Alexey Dosovitskiy Dario Bellicoso Vassilios Tsounis V. Koltun Marco Hutter 67 1,294 0 24 Jan 2019
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 59 205 0 29 Sep 2018
Spherical Latent Spaces for Stable Variational Autoencoders Jiacheng Xu Greg Durrett BDL DRL 51 194 0 31 Aug 2018
Improving Regression Performance with Distributional Losses Ehsan Imani Martha White UQCV 38 65 0 12 Jun 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 153 5,121 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 219 8,236 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 108 1,121 0 02 Jan 2018
Deep Hyperspherical Learning Weiyang Liu Yanming Zhang Xingguo Li Zhen Liu Bo Dai T. Zhao Le Song 59 133 0 08 Nov 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 103 1,940 0 19 Sep 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 69 1,497 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 234 18,685 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 443 129,831 0 12 Jun 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 208 2,790 0 26 Apr 2017
NormFace: L2 Hypersphere Embedding for Face Verification Feng Wang Xiang Xiang Jian Cheng Alan Yuille 3DH CVBM 58 741 0 21 Apr 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 246 10,412 0 21 Jul 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 174 5,056 0 05 Jun 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 141 1,933 0 25 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 191 13,174 0 09 Sep 2015
Distributions of Angles in Random Packing on Spheres Tony Cai Jianqing Fan Tiefeng Jiang 102 183 0 02 Jun 2013
Stochastic gradient descent on Riemannian manifolds Silvere Bonnabel 74 589 0 22 Nov 2011