Spectral Normalisation for Deep Reinforcement Learning: an Optimisation
Perspective

Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective

11 May 2021

Claudia Clopath

Papers citing "Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective"

19 / 19 papers shown

Title
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models Shriyank Somvanshi Md Monzurul Islam Mahmuda Sultana Mimi Sazzad Bin Bashar Polock Gaurab Chhetri Subasish Das Mamba AI4TS 45 0 0 22 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 149 0 0 14 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
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning Rémy Hosseinkhan Boucher Onofrio Semeraro L. Mathelin 82 0 0 28 Jan 2025
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 53 1 0 11 Sep 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning Michal Nauman Michal Bortkiewicz Piotr Milo's Tomasz Trzciñski M. Ostaszewski Marek Cygan OffRL 30 17 0 01 Mar 2024
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 35 1 0 30 Oct 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li Aviral Kumar Ilya Kostrikov Sergey Levine OffRL 24 31 0 20 Apr 2023
Understanding plasticity in neural networks Clare Lyle Zeyu Zheng Evgenii Nikishin Bernardo Avila-Pires Razvan Pascanu Will Dabney AI4CE 35 97 0 02 Mar 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang M. Zhang Jianye Hao 23 1 0 02 Mar 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng Xiyao Wang Huazhe Xu Furong Huang 48 13 0 02 Feb 2023
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 21 7 0 10 Dec 2022
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation Chengqian Gao Kelvin Xu Liu Liu Deheng Ye P. Zhao Zhiqiang Xu OffRL 37 2 0 19 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 53 30 0 27 Sep 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
Exact Spectral Norm Regularization for Neural Networks Anton Johansson Claes Strannegård Niklas Engsner P. Mostad AAML 8 2 0 27 Jun 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney CLL 36 109 0 20 Apr 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 28 132 0 23 Feb 2022