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A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

Pamul Yadav
Ashutosh Mishra
Junyong Lee
Shiho Kim
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Papers citing "A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization"

5 / 5 papers shown
Title
Neurosymbolic Reinforcement Learning and Planning: A Survey
Neurosymbolic Reinforcement Learning and Planning: A Survey
Kamal Acharya
Waleed Raza
Carlos Dourado
Alvaro Velasquez
Houbing Song
NAI
OffRL
32
16
0
02 Sep 2023
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
132
82
0
16 Jan 2021
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
114
79
0
02 Mar 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
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
466
11,715
0
09 Mar 2017