Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2102.04764
Cited By
Continuous-Time Model-Based Reinforcement Learning
9 February 2021
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
OffRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Continuous-Time Model-Based Reinforcement Learning"
11 / 11 papers shown
Title
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
Samuel Holt
Alihan Huyuk
Zhaozhi Qian
Hao Sun
M. Schaar
OffRL
21
10
0
24 Feb 2023
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
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
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
Kazuki Irie
Francesco Faccio
Jürgen Schmidhuber
AI4TS
30
11
0
03 Jun 2022
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
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
Yanwei Jia
X. Zhou
OffRL
27
78
0
22 Nov 2021
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
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 2016
1