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Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV
  based Random Access IoT Networks with NOMA

Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA

31 January 2020
Sami Khairy
Prasanna Balaprakash
L. Cai
Y. Cheng
ArXivPDFHTML

Papers citing "Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA"

14 / 14 papers shown
Title
Reward Constrained Policy Optimization
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
80
540
0
28 May 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
169
5,178
0
26 Feb 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement
  Learning
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning
Qingkai Liang
Fanyu Que
E. Modiano
69
102
0
19 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
287
8,313
0
04 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
446
18,931
0
20 Jul 2017
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
110
1,321
0
30 May 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
191
8,833
0
04 Feb 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow
Mohammad Ghavamzadeh
Lucas Janson
Marco Pavone
66
512
0
05 Dec 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
314
13,234
0
09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
82
3,399
0
08 Jun 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,764
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
150,006
0
22 Dec 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
117
12,223
0
19 Dec 2013
Risk-Sensitive Reinforcement Learning Applied to Control under
  Constraints
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints
Peter Geibel
F. Wysotzki
81
317
0
09 Sep 2011
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