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RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
12 November 2021
Peizheng Li
Jonathan D. Thomas
Xiaoyang Wang
Ahmed Khalil
A. Ahmad
Rui Inacio
S. Kapoor
Arjun Parekh
A. Doufexi
Arman Shojaeifard
Robert Piechocki
AI4TS
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Papers citing
"RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN"
35 / 35 papers shown
Title
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
Michele Polese
Leonardo Bonati
Salvatore D’oro
S. Basagni
Tommaso Melodia
72
151
0
17 Dec 2021
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
Sharada Mohanty
Jyotish Poonganam
Adrien Gaidon
Andrey Kolobov
Blake Wulfe
...
Jacob Hilton
William H. Guss
Sahika Genc
John Schulman
K. Cobbe
54
23
0
29 Mar 2021
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
Xiaoyang Wang
Jonathan D. Thomas
Robert Piechocki
S. Kapoor
Raúl Santos-Rodríguez
Arjun Parekh
45
24
0
03 Mar 2021
A Data Quality-Driven View of MLOps
Cédric Renggli
Luka Rimanic
Nezihe Merve Gürel
Bojan Karlavs
Wentao Wu
Ce Zhang
AI4TS
44
65
0
15 Feb 2021
The Next Decade of Telecommunications Artificial Intelligence
Ouyang Ye
Lilei Wang
Aidong Yang
Le Su
David Belanger
Tongqing Gao
Leping Wei
Yaqin Zhang
43
17
0
19 Jan 2021
Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks
Leonardo Bonati
Salvatore D’oro
Michele Polese
S. Basagni
Tommaso Melodia
54
252
0
02 Dec 2020
How to Make Deep RL Work in Practice
Nirnai Rao
Elie Aljalbout
Axel Sauer
Sami Haddadin
OffRL
123
11
0
25 Oct 2020
Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty
R. Russel
M. Benosman
J. Baar
63
22
0
10 Oct 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
OffRL
201
736
0
24 Sep 2020
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Aria HasanzadeZonuzy
Archana Bura
D. Kalathil
S. Shakkottai
52
40
0
01 Aug 2020
Evaluating the Performance of Reinforcement Learning Algorithms
Scott M. Jordan
Yash Chandak
Daniel Cohen
Mengxue Zhang
Philip S. Thomas
55
47
0
30 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
68
151
0
19 May 2020
Explainable Reinforcement Learning: A Survey
Erika Puiutta
Eric M. S. P. Veith
XAI
66
248
0
13 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
561
2,040
0
04 May 2020
Learning under Concept Drift: A Review
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
65
1,289
0
13 Apr 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
204
1,223
0
24 Nov 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Georgios Papoudakis
Filippos Christianos
Arrasy Rahman
Stefano V. Albrecht
74
191
0
11 Jun 2019
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu
Kun Zhao
Hongxia Yang
Wei Lin
Chang Zhou
Baole Ai
Yong Li
Jingren Zhou
GNN
102
389
0
23 Feb 2019
Learning Curriculum Policies for Reinforcement Learning
Sanmit Narvekar
Peter Stone
66
85
0
01 Dec 2018
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh
A. Mishra
Steven Euijong Whang
74
681
0
08 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
J. Gauci
Edoardo Conti
Yitao Liang
Kittipat Virochsiri
Yuchen He
Zachary Kaden
Vivek Narayanan
Xiaohui Ye
Zhengxing Chen
Scott Fujimoto
63
139
0
01 Nov 2018
Deep Learning-Based Channel Estimation
Mehran Soltani
V. Pourahmadi
A. Mirzaei
H. Sheikhzadeh
67
516
0
13 Oct 2018
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
88
1,900
0
15 Jul 2018
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
Xianfu Chen
Honggang Zhang
Celimuge Wu
S. Mao
Yusheng Ji
Medhi Bennis
OffRL
74
482
0
16 May 2018
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
149
741
0
02 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
222
1,605
0
05 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
97
1,871
0
02 Jan 2018
Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik
Zhenyi Tang
Shuijing Liu
Gautham Bommannan
Girish Chowdhary
OOD
68
306
0
11 Dec 2017
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
121
1,961
0
19 Sep 2017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
122
2,821
0
19 Aug 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
90
361
0
10 Apr 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
184
1,541
0
25 Jan 2017
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
239
2,403
0
21 Jun 2016
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
223
5,085
0
05 Jun 2016
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,261
0
19 Dec 2013
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