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Infusing model predictive control into meta-reinforcement learning for
  mobile robots in dynamic environments

Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments

15 September 2021
Jaeuk Shin
A. Hakobyan
Mingyu Park
Yeoneung Kim
Gihun Kim
Insoon Yang
ArXivPDFHTML

Papers citing "Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments"

5 / 5 papers shown
Title
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and
  Online LQR
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR
Jaeuk Shin
Giho Kim
Howon Lee
Joonho Han
Insoon Yang
OffRL
31
1
0
09 Dec 2023
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive
  Control
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Dawood
Nils Dengler
Jorge de Heuvel
Maren Bennewitz
19
9
0
04 Oct 2022
Distributionally robust risk map for learning-based motion planning and
  control: A semidefinite programming approach
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach
A. Hakobyan
Insoon Yang
101
25
0
03 May 2021
Learning-based distributionally robust motion control with Gaussian
  processes
Learning-based distributionally robust motion control with Gaussian processes
A. Hakobyan
Insoon Yang
89
10
0
05 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
314
11,681
0
09 Mar 2017
1