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Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot
  Dynamics and Environments

Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments

19 January 2021
Timothée Anne
Jack Wilkinson
Zhibin Li
ArXivPDFHTML

Papers citing "Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments"

5 / 5 papers shown
Title
Multi-expert learning of adaptive legged locomotion
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang
Kai Yuan
Qiuguo Zhu
Wanming Yu
Zhibin Li
108
184
0
10 Dec 2020
Contact-Implicit Trajectory Optimization using an Analytically Solvable
  Contact Model for Locomotion on Variable Ground
Contact-Implicit Trajectory Optimization using an Analytically Solvable Contact Model for Locomotion on Variable Ground
Iordanis Chatzinikolaidis
Yangwei You
Zhibin Li
63
27
0
22 Jul 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Xingyou Song
Yuxiang Yang
K. Choromanski
Ken Caluwaerts
Wenbo Gao
Chelsea Finn
Jie Tan
112
79
0
02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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