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Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

14 May 2020
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
ArXivPDFHTML

Papers citing "Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning"

26 / 26 papers shown
Title
Action Flow Matching for Continual Robot Learning
Action Flow Matching for Continual Robot Learning
Alejandro Murillo-Gonzalez
Lantao Liu
CLL
35
0
0
25 Apr 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
Zhenghai Xue
Lang Feng
Jiacheng Xu
Kang Kang
Xiang Wen
Bo An
Shuicheng Yan
OffRL
45
0
0
10 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
64
3
0
17 Feb 2025
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World
  Model Disentanglement
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
Zhi Wang
Li Lyna Zhang
Wenhao Wu
Yuanheng Zhu
Dongbin Zhao
C. L. Philip Chen
OffRL
35
6
0
15 Oct 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
89
3
0
20 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
53
6
0
28 Jul 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State
  Diffusion Model for End-to-End Navigation
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
Detian Chu
Linyuan Bai
Jianuo Huang
Zhenlong Fang
Peng Zhang
Wei Kang
Haifeng Lin
30
2
0
08 Jul 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
Hersh Sanghvi
Spencer Folk
Camillo J. Taylor
40
3
0
25 Jun 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
J. Pajarinen
OffRL
49
1
0
12 Jun 2024
Context-Conditional Navigation with a Learning-Based Terrain- and
  Robot-Aware Dynamics Model
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
Suresh Guttikonda
Jan Achterhold
Haolong Li
Joschka Boedecker
Joerg Stueckler
29
2
0
18 Jul 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
45
0
0
04 Feb 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
34
121
0
19 Jan 2023
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
55
8
0
23 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns
  for Cross-Domain Adaptation
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu
Yan Ma
Bingsheng Wei
Wei Li
27
3
0
24 Sep 2022
Meta Reinforcement Learning with Successor Feature Based Context
Meta Reinforcement Learning with Successor Feature Based Context
Xu Han
Feng Wu
OffRL
LRM
28
3
0
29 Jul 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
44
101
0
19 Jun 2022
Meta-Learning Parameterized Skills
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
G. Konidaris
27
6
0
07 Jun 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng
Biwei Huang
Kun Zhang
Sara Magliacane
CML
OffRL
42
32
0
30 Mar 2022
Context is Everything: Implicit Identification for Dynamics Adaptation
Context is Everything: Implicit Identification for Dynamics Adaptation
Ben Evans
Abitha Thankaraj
Lerrel Pinto
37
20
0
10 Mar 2022
Bayesian Optimisation for Robust Model Predictive Control under Model
  Parameter Uncertainty
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty
Rel Guzman
Rafael Oliveira
Fabio Ramos
17
3
0
01 Mar 2022
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
OffRL
AI4CE
16
10
0
17 Feb 2022
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka
Takahisa Imagawa
Taisei Hashimoto
Takashi Onishi
Yoshimasa Tsuruoka
11
103
0
05 Oct 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
272
109
0
13 Jul 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous
  Agents via Personalized Simulators
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal
Abdullah Alomar
Varkey Alumootil
Devavrat Shah
Dennis Shen
Zhi Xu
Cindy Yang
OffRL
18
18
0
13 Feb 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach
  based on Contrastive Learning
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
Haotian Fu
Hongyao Tang
Jianye Hao
C. L. P. Chen
Xidong Feng
Dong Li
Wulong Liu
OffRL
27
51
0
29 Sep 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
317
11,681
0
09 Mar 2017
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