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Model-based Reinforcement Learning for Semi-Markov Decision Processes
  with Neural ODEs

Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs

29 June 2020
Jianzhun Du
Joseph D. Futoma
Finale Doshi-Velez
ArXivPDFHTML

Papers citing "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs"

14 / 14 papers shown
Title
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
Rémy Hosseinkhan Boucher
Onofrio Semeraro
L. Mathelin
65
0
0
28 Jan 2025
Learning Differential Equations that are Easy to Solve
Learning Differential Equations that are Easy to Solve
Jacob Kelly
J. Bettencourt
Matthew J. Johnson
David Duvenaud
58
113
0
09 Jul 2020
MOReL : Model-Based Offline Reinforcement Learning
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi
Aravind Rajeswaran
Praneeth Netrapalli
Thorsten Joachims
OffRL
55
662
0
12 May 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by
  Highlighting Influential Transitions
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman
Joseph D. Futoma
Yao Liu
Soanli Parbhoo
Leo Anthony Celi
Emma Brunskill
Finale Doshi-Velez
OffRL
198
56
0
10 Feb 2020
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
52
361
0
03 Jul 2019
Exploring Model-based Planning with Policy Networks
Exploring Model-based Planning with Policy Networks
Tingwu Wang
Jimmy Ba
60
148
0
20 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
48
939
0
19 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDa
CML
AI4TS
66
292
0
29 May 2019
Plan Online, Learn Offline: Efficient Learning and Exploration via
  Model-Based Control
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey
Aravind Rajeswaran
Sham Kakade
G. Haro
Igor Mordatch
OffRL
44
224
0
05 Nov 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
189
5,024
0
19 Jun 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
88
1,050
0
27 Mar 2018
Robust and Efficient Transfer Learning with Hidden-Parameter Markov
  Decision Processes
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes
Taylor W. Killian
Samuel Daulton
George Konidaris
Finale Doshi-Velez
78
106
0
20 Jun 2017
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
183
3,777
0
18 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
146
13,174
0
09 Sep 2015
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