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2002.06836
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Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
17 February 2020
Alberto Maria Metelli
Flavio Mazzolini
L. Bisi
Luca Sabbioni
Marcello Restelli
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Papers citing
"Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning"
25 / 25 papers shown
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Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
Neural Information Processing Systems (NeurIPS), 2024
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Alberto Maria Metelli
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241
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Exploiting Risk-Aversion and Size-dependent fees in FX Trading with Fitted Natural Actor-Critic
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158
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Variable Time Step Reinforcement Learning for Robotic Applications
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29 Jun 2024
MOSEAC: Streamlined Variable Time Step Reinforcement Learning
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218
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03 Jun 2024
Reinforcement Learning with Elastic Time Steps
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Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes
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128
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Learning Uncertainty-Aware Temporally-Extended Actions
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Seung Joon Park
Yunhao Tang
Min-hwan Oh
139
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08 Feb 2024
No-Regret Reinforcement Learning in Smooth MDPs
International Conference on Machine Learning (ICML), 2024
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Matteo Papini
Marcello Restell
177
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06 Feb 2024
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
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Actor-Critic with variable time discretization via sustained actions
International Conference on Neural Information Processing (ICONIP), 2023
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08 Aug 2023
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems
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01 Aug 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
Neural Information Processing Systems (NeurIPS), 2022
Zichen Zhang
Johannes Kirschner
Junxi Zhang
Francesco Zanini
Alex Ayoub
Masood Dehghan
Dale Schuurmans
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334
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17 Dec 2022
Dynamic Decision Frequency with Continuous Options
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Amir-Hossein Karimi
Jun Jin
Jun Luo
A. R. Mahmood
Martin Jägersand
Samuele Tosatto
277
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06 Dec 2022
Simultaneously Updating All Persistence Values in Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Luca Sabbioni
Luca Al Daire
L. Bisi
Alberto Maria Metelli
Marcello Restelli
155
3
0
21 Nov 2022
Delayed Reinforcement Learning by Imitation
International Conference on Machine Learning (ICML), 2022
P. Liotet
Davide Maran
L. Bisi
Marcello Restelli
184
19
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11 May 2022
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park
Jaekyeom Kim
Gunhee Kim
316
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06 Nov 2021
Towards Automatic Actor-Critic Solutions to Continuous Control
J. E. Grigsby
Jinsu Yoo
Yanjun Qi
OffRL
152
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16 Jun 2021
TempoRL: Learning When to Act
International Conference on Machine Learning (ICML), 2021
André Biedenkapp
Raghunandan Rajan
Katharina Eggensperger
Marius Lindauer
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137
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09 Jun 2021
Learning Routines for Effective Off-Policy Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Edoardo Cetin
Oya Celiktutan
113
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05 Jun 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control
Neural Information Processing Systems (NeurIPS), 2021
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Wei Xu
Haichao Zhang
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229
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13 Apr 2021
Addressing Action Oscillations through Learning Policy Inertia
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chong Chen
Hongyao Tang
Jianye Hao
Wulong Liu
Zhaopeng Meng
129
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03 Mar 2021
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning
Motion in Games (MIG), 2020
Daniele Reda
Tianxin Tao
M. van de Panne
AI4CE
209
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09 Oct 2020
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