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Continuous-Time Model-Based Reinforcement Learning

Continuous-Time Model-Based Reinforcement Learning

9 February 2021
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
    OffRL
ArXivPDFHTML

Papers citing "Continuous-Time Model-Based Reinforcement Learning"

11 / 11 papers shown
Title
Tuning Frequency Bias of State Space Models
Tuning Frequency Bias of State Space Models
Annan Yu
Dongwei Lyu
S. H. Lim
Michael W. Mahoney
N. Benjamin Erichson
42
3
0
02 Oct 2024
Neural Laplace Control for Continuous-time Delayed Systems
Neural Laplace Control for Continuous-time Delayed Systems
Samuel Holt
Alihan Huyuk
Zhaozhi Qian
Hao Sun
M. Schaar
OffRL
21
10
0
24 Feb 2023
Neural Optimal Control using Learned System Dynamics
Neural Optimal Control using Learned System Dynamics
Selim Engin
Volkan Isler
15
3
0
20 Feb 2023
Managing Temporal Resolution in Continuous Value Estimation: A
  Fundamental Trade-off
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
Zichen Zhang
Johannes Kirschner
Junxi Zhang
Francesco Zanini
Alex Ayoub
Masood Dehghan
Dale Schuurmans
OffRL
21
3
0
17 Dec 2022
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
I. O. Sandoval
Panagiotis Petsagkourakis
Ehecatl Antonio del Rio Chanona
17
9
0
20 Oct 2022
Neural Differential Equations for Learning to Program Neural Nets
  Through Continuous Learning Rules
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie
Francesco Faccio
Jürgen Schmidhuber
AI4TS
30
11
0
03 Jun 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal
  Point Processes
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
C. Qu
Xiaoyu Tan
Siqiao Xue
X. Shi
James Y. Zhang
Hongyuan Mei
OffRL
27
17
0
29 Jan 2022
Characteristic Neural Ordinary Differential Equations
Characteristic Neural Ordinary Differential Equations
Xingzi Xu
Ali Hasan
Khalil Elkhalil
Jie Ding
Vahid Tarokh
BDL
23
3
0
25 Nov 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space:
  Theory and Algorithms
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
Yanwei Jia
X. Zhou
OffRL
27
78
0
22 Nov 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
130
422
0
10 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 2016
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