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SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems

SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems

7 May 2024
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
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Papers citing "SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems"

9 / 9 papers shown
Title
Feelbert: A Feedback Linearization-based Embedded Real-Time Quadrupedal Locomotion Framework
Feelbert: A Feedback Linearization-based Embedded Real-Time Quadrupedal Locomotion Framework
Aristide Emanuele Casucci
F. Nesti
Mauro Marinoni
Giorgio Buttazzo
19
0
0
28 Apr 2025
Accelerating Graph Neural Networks on Real Processing-In-Memory Systems
Accelerating Graph Neural Networks on Real Processing-In-Memory Systems
Christina Giannoula
Peiming Yang
Ivan Fernandez Vega
Jiacheng Yang
Yu Xin Li
Juan Gómez Luna
Mohammad Sadrosadati
Onur Mutlu
Gennady Pekhimenko
GNN
17
4
0
26 Feb 2024
Leveraging Factored Action Spaces for Efficient Offline Reinforcement
  Learning in Healthcare
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang
Maggie Makar
Michael Sjoding
Finale Doshi-Velez
Jenna Wiens
OffRL
48
37
0
02 May 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
33
38
0
21 Feb 2023
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
111
231
0
20 May 2022
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems
  Using Online Reinforcement Learning
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
Gagandeep Singh
Rakesh Nadig
Jisung Park
Rahul Bera
Nastaran Hajinazar
D. Novo
Juan Gómez Luna
S. Stuijk
Henk Corporaal
O. Mutlu
42
33
0
15 May 2022
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
131
192
0
19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,944
0
04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
143
1,599
0
02 Feb 2020
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