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Resetting the Optimizer in Deep RL: An Empirical Study

Resetting the Optimizer in Deep RL: An Empirical Study

Kavosh Asadi
Rasool Fakoor
Shoham Sabach
    ODL
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Papers citing "Resetting the Optimizer in Deep RL: An Empirical Study"

4 / 4 papers shown
Title
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Alexander David Goldie
Chris Xiaoxuan Lu
Matthew Jackson
Shimon Whiteson
Jakob N. Foerster
42
3
0
09 Jul 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
34
4
0
26 May 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence
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
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
96
180
0
16 May 2022