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SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement
  Learning

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning

13 October 2024
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Hyunseung Kim
Jun Jet Tai
K. Subramanian
Peter R. Wurman
Jaegul Choo
Peter Stone
Takuma Seno
    OffRL
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Papers citing "SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning"

2 / 2 papers shown
Title
Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach
Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach
Tim Schneider
Cristiana de Farias
Roberto Calandra
L. Chen
Jan Peters
140
0
0
09 May 2025
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
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
127
2
0
02 Oct 2024
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