Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules
and Training Stages

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages

11 October 2023

Li Shen

Papers citing "Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages"

7 / 7 papers shown

Title
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI Fangwei Zhong Kui Wu Churan Wang Hao Chen Hai Ci Zhoujun Li Yizhou Wang VGen 38 0 0 31 Dec 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Aaron C. Courville L. Pan 31 3 0 10 Oct 2024
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL Ghada Sokar J. Obando-Ceron Aaron C. Courville Hugo Larochelle Pablo Samuel Castro MoE 47 2 0 02 Oct 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 34 3 0 09 Jul 2024
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 69 25 0 19 Jun 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 85 178 0 16 May 2022
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 259 337 0 14 Sep 2020