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Ubiquitous Distributed Deep Reinforcement Learning at the Edge:
  Analyzing Byzantine Agents in Discrete Action Spaces

Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces

18 August 2020
Wenshuai Zhao
Jorge Peña Queralta
Qingqing Li
Tomi Westerlund
ArXivPDFHTML

Papers citing "Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces"

2 / 2 papers shown
Title
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
61
132
0
27 Jan 2020
Meta Reinforcement Learning for Sim-to-real Domain Adaptation
Meta Reinforcement Learning for Sim-to-real Domain Adaptation
Karol Arndt
Murtaza Hazara
Ali Ghadirzadeh
Ville Kyrki
108
104
0
16 Sep 2019
1