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Learning to Adapt in Dynamic, Real-World Environments Through
  Meta-Reinforcement Learning

Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

30 March 2018
Anusha Nagabandi
I. Clavera
Simin Liu
R. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
ArXivPDFHTML

Papers citing "Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning"

50 / 115 papers shown
Title
Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System
Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System
Minghao Han
Xunyuan Yin
22
0
0
09 Apr 2025
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms
Seungwon Lim
Sungwoong Kim
Jihwan Yu
Sungjae Lee
Jiwan Chung
Youngjae Yu
71
1
0
18 Mar 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
101
1
0
04 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Kaixi Bao
Chenhao Li
Yarden As
Andreas Krause
Marco Hutter
OffRL
CLL
125
1
0
03 Feb 2025
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI
Dvij Kalaria
Haoru Xue
Wenli Xiao
Tony Tao
Guanya Shi
John M. Dolan
39
1
0
09 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
Ruohong Liu
Yuxin Pan
Linjie Xu
Lei Song
Jiang Bian
Pengcheng You
Yize Chen
42
1
0
03 Oct 2024
Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion
Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion
Xin Duan
Ziwen Zhuang
Hang Zhao
Soeren Schwertfeger
55
2
0
30 Sep 2024
Simplex-enabled Safe Continual Learning Machine
Simplex-enabled Safe Continual Learning Machine
H. Cao
Y. Mao
Yihao Cai
L. Sha
Marco Caccamo
39
3
0
05 Sep 2024
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
Hongyu Zhou
Vasileios Tzoumas
93
4
0
04 Jul 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online
  Reinforcement Learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Mohammadreza Nakhaei
Aidan Scannell
Joni Pajarinen
OffRL
49
1
0
12 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Subhojyoti Mukherjee
Josiah P. Hanna
Qiaomin Xie
Robert Nowak
79
2
0
07 Jun 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Chenjia Bai
Jingwen Yang
Zongqing Lu
Xiu Li
30
8
0
24 May 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline
  Reinforcement Learning
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen
Chenjia Bai
Kang Xu
Xudong Yu
Yang Zhang
Xuelong Li
Zhen Wang
41
2
0
10 May 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation
A Moreau Envelope Approach for LQR Meta-Policy Estimation
Ashwin Aravind
Taha Toghani
César A. Uribe
40
1
0
26 Mar 2024
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based
  Agents
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
Wenkai Yang
Xiaohan Bi
Yankai Lin
Sishuo Chen
Jie Zhou
Xu Sun
LLMAG
AAML
46
56
0
17 Feb 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Xinyu Zhang
Wenjie Qiu
Yi-Chen Li
Lei Yuan
Chengxing Jia
Zongzhang Zhang
Yang Yu
OffRL
37
1
0
17 Feb 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal
  Morphology Control
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Zheng Xiong
Risto Vuorio
Jacob Beck
Matthieu Zimmer
Kun Shao
Shimon Whiteson
39
1
0
09 Feb 2024
Meta-Learning-Based Adaptive Stability Certificates for Dynamical
  Systems
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
Amit Jena
D. Kalathil
Le Xie
28
3
0
23 Dec 2023
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
33
1
0
09 Dec 2023
Interpretable Meta-Learning of Physical Systems
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke
Marc Lelarge
AI4CE
30
5
0
01 Dec 2023
A Deep Learning Based Resource Allocator for Communication Systems with
  Dynamic User Utility Demands
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands
Pourya Behmandpoor
Panagiotis Patrinos
Marc Moonen
23
1
0
08 Nov 2023
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead
  Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Baha Zarrouki
Chenyang Wang
Johannes Betz
26
2
0
07 Nov 2023
Emergence of Collective Open-Ended Exploration from Decentralized
  Meta-Reinforcement Learning
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning
Richard Bornemann
Gautier Hamon
Eleni Nisioti
Clément Moulin-Frier
LRM
27
1
0
01 Nov 2023
Transformers as Decision Makers: Provable In-Context Reinforcement
  Learning via Supervised Pretraining
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Licong Lin
Yu Bai
Song Mei
OffRL
32
45
0
12 Oct 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Satoshi Yamamori
Jun Morimoto
26
0
0
31 Aug 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
37
2
0
20 May 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and
  Exploration
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration
Chentian Jiang
Nan Rosemary Ke
Hado van Hasselt
16
3
0
08 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
50
0
0
04 Feb 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg
Shie Mannor
Gal Chechik
E. Meirom
OffRL
OOD
21
6
0
26 Jan 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
38
109
0
18 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics
A System-Level View on Out-of-Distribution Data in Robotics
Rohan Sinha
Apoorva Sharma
Somrita Banerjee
T. Lew
Rachel Luo
Spencer M. Richards
Yixiao Sun
Edward Schmerling
Marco Pavone
UQCV
41
23
0
28 Dec 2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Hang Lai
Weinan Zhang
Xialin He
Chen Yu
Zheng Tian
Yong Yu
Jun Wang
24
20
0
15 Dec 2022
Phase2vec: Dynamical systems embedding with a physics-informed
  convolutional network
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network
Matthew Ricci
Noa Moriel
Zoe Piran
Mor Nitzan
AI4CE
24
5
0
07 Dec 2022
Few-Shot Preference Learning for Human-in-the-Loop RL
Few-Shot Preference Learning for Human-in-the-Loop RL
Joey Hejna
Dorsa Sadigh
OffRL
32
92
0
06 Dec 2022
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
25
5
0
23 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
Giving Feedback on Interactive Student Programs with Meta-Exploration
E. Liu
Moritz Stephan
Allen Nie
Chris Piech
Emma Brunskill
Chelsea Finn
AI4Ed
30
8
0
16 Nov 2022
Legged Locomotion in Challenging Terrains using Egocentric Vision
Legged Locomotion in Challenging Terrains using Egocentric Vision
Ananye Agarwal
Ashish Kumar
Jitendra Malik
Deepak Pathak
34
206
0
14 Nov 2022
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
Julius Ott
Lorenzo Servadei
Gianfranco Mauro
Thomas Stadelmayer
Avik Santra
Robert Wille
OOD
UQCV
39
3
0
26 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
57
9
0
23 Oct 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and
  Locomotion
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Zipeng Fu
Xuxin Cheng
Deepak Pathak
19
144
0
18 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural
  Online Lookahead Adaptation
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li
Haozhe Lei
Quanyan Zhu
26
11
0
06 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning
Distributionally Adaptive Meta Reinforcement Learning
Anurag Ajay
Abhishek Gupta
Dibya Ghosh
Sergey Levine
Pulkit Agrawal
OOD
29
14
0
06 Oct 2022
DMAP: a Distributed Morphological Attention Policy for Learning to
  Locomote with a Changing Body
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
A. Chiappa
Alessandro Marin Vargas
Alexander Mathis
34
7
0
28 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
27
9
0
18 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 Sep 2022
A model-based approach to meta-Reinforcement Learning: Transformers and
  tree search
A model-based approach to meta-Reinforcement Learning: Transformers and tree search
Brieuc Pinon
Jean-Charles Delvenne
Raphaël Jungers
OffRL
32
3
0
24 Aug 2022
Meta-Learning Online Control for Linear Dynamical Systems
Meta-Learning Online Control for Linear Dynamical Systems
Deepan Muthirayan
D. Kalathil
Pramod P. Khargonekar
35
6
0
18 Aug 2022
Safe and Efficient Exploration of Human Models During Human-Robot
  Interaction
Safe and Efficient Exploration of Human Models During Human-Robot Interaction
Ravi Pandya
Changliu Liu
24
6
0
01 Aug 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
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