CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater
Sample Efficiency and Simplicity

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

14 February 2019

Daniel Palenicek

Max Argus

Artemij Amiranashvili

Thomas Brox

Jan Peters

Papers citing "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"

19 / 19 papers shown

Title
Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach Tim Schneider Cristiana de Farias Roberto Calandra L. Chen Jan Peters 131 0 0 09 May 2025
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 19 0 0 01 May 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic B. Mabsout Abdelrahman AbdelGawad R. Mancuso 38 1 0 04 Mar 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
Circular Microalgae-Based Carbon Control for Net Zero Federico Zocco Joan García W. Haddad 106 0 0 04 Feb 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 84 0 0 16 Dec 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 54 0 0 19 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse D. Dhami Kristian Kersting 41 3 0 15 Oct 2024
FRASA: An End-to-End Reinforcement Learning Agent for Fall Recovery and Stand Up of Humanoid Robots Clément Gaspard Marc Duclusaud G. Passault Mélodie Daniel Olivier Ly 30 3 0 11 Oct 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 59 14 0 05 Jul 2024
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control Michal Nauman M. Ostaszewski Krzysztof Jankowski Piotr Milo's Marek Cygan OffRL 43 16 0 25 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 62 14 0 23 May 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 34 3 0 09 Mar 2024
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 32 1 0 30 Oct 2023
Batch Layer Normalization, A new normalization layer for CNNs and RNN A. Ziaee Erion cCano 6 12 0 19 Sep 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 90 178 0 16 May 2022
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 22 9 0 24 Nov 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 16 52 0 11 May 2021
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 11 23 0 18 Sep 2020