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Dynamic Decision Frequency with Continuous Options

Dynamic Decision Frequency with Continuous Options

6 December 2022
Amir-Hossein Karimi
Jun Jin
Jun Luo
A. R. Mahmood
Martin Jägersand
Samuele Tosatto
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Papers citing "Dynamic Decision Frequency with Continuous Options"

16 / 16 papers shown
Title
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics
Qihao Ye
Xiaochuan Tian
Yuhua Zhu
57
1
0
02 Apr 2025
Asynchronous Reinforcement Learning for Real-Time Control of Physical
  Robots
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots
Yufeng Yuan
Rupam Mahmood
OffRL
46
19
0
23 Mar 2022
Time Discretization-Invariant Safe Action Repetition for Policy Gradient
  Methods
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park
Jaekyeom Kim
Gunhee Kim
48
24
0
06 Nov 2021
Continuous-Time Model-Based Reinforcement Learning
Continuous-Time Model-Based Reinforcement Learning
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
OffRL
39
57
0
09 Feb 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse
  Rewards
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Susan Amin
Maziar Gomrokchi
Hossein Aboutalebi
Harsh Satija
Doina Precup
34
16
0
26 Dec 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent
  Control
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
Ted Xiao
Eric Jang
Dmitry Kalashnikov
Sergey Levine
Julian Ibarz
Karol Hausman
Alexander Herzog
66
39
0
13 Apr 2020
Control Frequency Adaptation via Action Persistence in Batch
  Reinforcement Learning
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
Alberto Maria Metelli
Flavio Mazzolini
L. Bisi
Luca Sabbioni
Marcello Restelli
30
41
0
17 Feb 2020
DAC: The Double Actor-Critic Architecture for Learning Options
DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang
Shimon Whiteson
59
73
0
29 Apr 2019
Making Deep Q-learning methods robust to time discretization
Making Deep Q-learning methods robust to time discretization
Corentin Tallec
Léonard Blier
Yann Ollivier
OOD
OffRL
31
91
0
28 Jan 2019
Setting up a Reinforcement Learning Task with a Real-World Robot
Setting up a Reinforcement Learning Task with a Real-World Robot
A. R. Mahmood
D. Korenkevych
Brent Komer
James Bergstra
59
76
0
19 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
284
8,313
0
04 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
127
1,133
0
02 Jan 2018
When Waiting is not an Option : Learning Options with a Deliberation
  Cost
When Waiting is not an Option : Learning Options with a Deliberation Cost
J. Harb
Pierre-Luc Bacon
Martin Klissarov
Doina Precup
44
148
0
14 Sep 2017
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
62
1,082
0
16 Sep 2016
Unifying task specification in reinforcement learning
Unifying task specification in reinforcement learning
Martha White
OffRL
44
89
0
07 Sep 2016
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
308
13,214
0
09 Sep 2015
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