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Reinforcement Learning in Presence of Discrete Markovian Context
  Evolution

Reinforcement Learning in Presence of Discrete Markovian Context Evolution

14 February 2022
Hang Ren
Aivar Sootla
Taher Jafferjee
Junxiao Shen
Jun Wang
Haitham Bou-Ammar
    BDL
    OffRL
ArXivPDFHTML

Papers citing "Reinforcement Learning in Presence of Discrete Markovian Context Evolution"

8 / 8 papers shown
Title
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
20
3
0
20 Jan 2024
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
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Page-Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
29
29
0
18 Nov 2022
Demystifying Reinforcement Learning in Time-Varying Systems
Demystifying Reinforcement Learning in Time-Varying Systems
Pouya Hamadanian
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
35
1
0
14 Jan 2022
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
23
0
05 Oct 2021
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
332
11,684
0
09 Mar 2017
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
19
26
0
21 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1