ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.16582
  4. Cited By
Factored Adaptation for Non-Stationary Reinforcement Learning

Factored Adaptation for Non-Stationary Reinforcement Learning

30 March 2022
Fan Feng
Biwei Huang
Kun Zhang
Sara Magliacane
    CML
    OffRL
ArXivPDFHTML

Papers citing "Factored Adaptation for Non-Stationary Reinforcement Learning"

8 / 8 papers shown
Title
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
Yupei Yang
Biwei Huang
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
38
1
0
30 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Hao-ming Lin
Wenhao Ding
Jian Chen
Laixi Shi
Jiacheng Zhu
Bo-wen Li
Ding Zhao
OffRL
CML
49
0
0
15 Jul 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning
Pausing Policy Learning in Non-stationary Reinforcement Learning
Hyunin Lee
Ming Jin
Javad Lavaei
Somayeh Sojoudi
OffRL
32
2
0
25 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
36
2
0
18 May 2024
Leveraging Factored Action Spaces for Efficient Offline Reinforcement
  Learning in Healthcare
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang
Maggie Makar
Michael Sjoding
Finale Doshi-Velez
Jenna Wiens
OffRL
48
37
0
02 May 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
40
0
0
04 Feb 2023
Domain Adaptation as a Problem of Inference on Graphical Models
Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang
Mingming Gong
P. Stojanov
Biwei Huang
Qingsong Liu
Clark Glymour
OOD
43
64
0
09 Feb 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
290
11,681
0
09 Mar 2017
1