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On the consistency of hyper-parameter selection in value-based deep
  reinforcement learning

On the consistency of hyper-parameter selection in value-based deep reinforcement learning

25 June 2024
J. Obando-Ceron
J. G. Araújo
Aaron C. Courville
Pablo Samuel Castro
ArXivPDFHTML

Papers citing "On the consistency of hyper-parameter selection in value-based deep reinforcement learning"

5 / 5 papers shown
Title
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean
Evangelos Chataroulas
Jordan Terry
Isaac Woungang
Nariman Farsad
P. S. Castro
LRM
39
0
0
07 Mar 2025
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
Ömer Veysel Çağatan
Barış Akgün
OffRL
34
0
0
22 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
39
1
0
11 Oct 2024
Stop Regressing: Training Value Functions via Classification for
  Scalable Deep RL
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother
Jordi Orbay
Q. Vuong
Adrien Ali Taïga
Yevgen Chebotar
...
Sergey Levine
Pablo Samuel Castro
Aleksandra Faust
Aviral Kumar
Rishabh Agarwal
OffRL
56
55
0
06 Mar 2024
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
1