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2310.03882
Cited By
Small batch deep reinforcement learning
5 October 2023
J. Obando-Ceron
Marc G. Bellemare
Pablo Samuel Castro
VLM
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Papers citing
"Small batch deep reinforcement learning"
9 / 9 papers shown
Title
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
Simplifying Deep Temporal Difference Learning
Matteo Gallici
Mattie Fellows
Benjamin Ellis
B. Pou
Ivan Masmitja
Jakob Foerster
Mario Martin
OffRL
42
12
0
05 Jul 2024
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control
Michal Nauman
M. Ostaszewski
Krzysztof Jankowski
Piotr Milo's
Marek Cygan
OffRL
27
16
0
25 May 2024
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
83
178
0
16 May 2022
Large Batch Experience Replay
Thibault Lahire
M. Geist
Emmanuel Rachelson
OffRL
24
13
0
04 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,662
0
04 May 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
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