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Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep
  Reinforcement Learning

Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning

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

Papers citing "Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning"

6 / 6 papers shown
Title
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
Adam Labiosa
Josiah P. Hanna
51
0
0
07 Mar 2025
Generalized Robot Learning Framework
Generalized Robot Learning Framework
Jiahuan Yan
Zhouyang Hong
Yu Zhao
Yu Tian
Yunxin Liu
Travis Davies
Luhui Hu
40
0
0
18 Sep 2024
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
13
2
0
22 Mar 2022
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
59
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
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
187
583
0
26 Sep 2016
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