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Reinforcement Learning in Non-Stationary Environments

Reinforcement Learning in Non-Stationary Environments

10 May 2019
Sindhu Padakandla
J. PrabuchandranK.
S. Bhatnagar
    OffRL
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Papers citing "Reinforcement Learning in Non-Stationary Environments"

18 / 18 papers shown
Title
Simple Noisy Environment Augmentation for Reinforcement Learning
Simple Noisy Environment Augmentation for Reinforcement Learning
Raad Khraishi
Ramin Okhrati
OffRL
21
1
0
04 May 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Yash Chandak
Shiv Shankar
Nathaniel D. Bastian
Bruno Castro da Silva
Emma Brunskil
Philip S. Thomas
OffRL
49
6
0
24 Jan 2023
Reactive Exploration to Cope with Non-Stationarity in Lifelong
  Reinforcement Learning
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
C. Steinparz
Thomas Schmied
Fabian Paischer
Marius-Constantin Dinu
Vihang Patil
Angela Bitto-Nemling
Hamid Eghbalzadeh
Sepp Hochreiter
CLL
29
11
0
12 Jul 2022
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties
  in Open-World Environments
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
Shivam Goel
Yash Shukla
Vasanth Sarathy
matthias. scheutz
Jivko Sinapov
41
15
0
24 Jun 2022
Reinforcement Learning with Brain-Inspired Modulation can Improve
  Adaptation to Environmental Changes
Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes
Eric Chalmers
Artur Luczak
25
3
0
19 May 2022
Non-Parametric Stochastic Policy Gradient with Strategic Retreat for
  Non-Stationary Environment
Non-Parametric Stochastic Policy Gradient with Strategic Retreat for Non-Stationary Environment
Apan Dastider
Mingjie Lin
11
2
0
24 Mar 2022
Reinforcement Learning in Presence of Discrete Markovian Context
  Evolution
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
Hang Ren
Aivar Sootla
Taher Jafferjee
Junxiao Shen
Jun Wang
Haitham Bou-Ammar
BDL
OffRL
35
9
0
14 Feb 2022
Continual Learning In Environments With Polynomial Mixing Times
Continual Learning In Environments With Polynomial Mixing Times
Matthew D Riemer
Sharath Chandra Raparthy
Ignacio Cases
G. Subbaraj
M. P. Touzel
Irina Rish
CLL
41
8
0
13 Dec 2021
Sequential (Quickest) Change Detection: Classical Results and New
  Directions
Sequential (Quickest) Change Detection: Classical Results and New Directions
Liyan Xie
Shaofeng Zou
Yao Xie
V. Veeravalli
AI4TS
11
96
0
09 Apr 2021
Unsupervised Person Re-identification via Simultaneous Clustering and
  Consistency Learning
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
Hanne I Oberman
Jiayan Qiu
S. van Buuren
G. Vink
Zhanyu Ma
Jun Guo
26
13
0
01 Apr 2021
Autonomous learning of multiple, context-dependent tasks
Autonomous learning of multiple, context-dependent tasks
V. Santucci
Davide Montella
Bruno C. da Silva
Gianluca Baldassarre
22
1
0
27 Nov 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
22
46
0
25 Sep 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial
  Imitation Learning
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Lionel Blondé
Pablo Strasser
Alexandros Kalousis
33
22
0
28 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying
  Environments
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
28
145
0
19 May 2020
Optimizing for the Future in Non-Stationary MDPs
Optimizing for the Future in Non-Stationary MDPs
Yash Chandak
Georgios Theocharous
Shiv Shankar
Martha White
Sridhar Mahadevan
Philip S. Thomas
OffRL
16
65
0
17 May 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to
  Continual Learning
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLL
KELM
25
66
0
12 Mar 2020
Efficient Policy Learning for Non-Stationary MDPs under Adversarial Manipulation
Tiancheng Yu
S. Sra
AAML
15
2
0
22 Jul 2019
Quickest Change Detection Approach to Optimal Control in Markov Decision
  Processes with Model Changes
Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes
T. Banerjee
Miao Liu
Jonathan P. How
27
26
0
21 Sep 2016
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