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An Analysis of Frame-skipping in Reinforcement Learning

An Analysis of Frame-skipping in Reinforcement Learning

7 February 2021
Shivaram Kalyanakrishnan
Siddharth Aravindan
Vishwajeet Bagdawat
Varun Bhatt
Harshith Goka
Archit Gupta
Kalpesh Krishna
Vihari Piratla
ArXiv (abs)PDFHTML

Papers citing "An Analysis of Frame-skipping in Reinforcement Learning"

11 / 11 papers shown
Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
Davide Paglieri
Bartłomiej Cupiał
Jonathan Cook
Ulyana Piterbarg
Jens Tuyls
Edward Grefenstette
Jakob Foerster
Jack Parker-Holder
Tim Rocktaschel
LLMAG
242
1
0
03 Sep 2025
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free ControlInternational Conference on Learning Representations (ICLR), 2024
Devdhar Patel
H. Siegelmann
OffRL
542
0
0
11 Oct 2024
Planning the path with Reinforcement Learning: Optimal Robot Motion
  Planning in RoboCup Small Size League Environments
Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments
Mateus G. Machado
João G. Melo
Cleber Zanchettin
Pedro H. M. Braga
Pedro V. Cunha
Edna N. S. Barros
H. Bassani
107
1
0
23 Apr 2024
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in
  Real-World Water Distribution Networks
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks
Harsh Patel
Yuan Zhou
Alexander P Lamb
Shu Wang
Jieliang Luo
AI4CE
97
1
0
13 Oct 2023
Speeding-up Evolutionary Algorithms to solve Black-Box Optimization
  Problems
Speeding-up Evolutionary Algorithms to solve Black-Box Optimization ProblemsIEEE Transactions on Evolutionary Computation (IEEE TEVC), 2023
J. Echevarrieta
Etor Arza
Aritz Pérez Martínez
130
6
0
23 Sep 2023
Actor-Critic with variable time discretization via sustained actions
Actor-Critic with variable time discretization via sustained actionsInternational Conference on Neural Information Processing (ICONIP), 2023
Jakub Lyskawa
Pawel Wawrzyñski
OffRL
91
1
0
08 Aug 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High
  Dimensions
The RL Perceptron: Generalisation Dynamics of Policy Learning in High DimensionsPhysical Review X (PRX), 2023
Nishil Patel
Sebastian Lee
Stefano Sarao Mannelli
Sebastian Goldt
Adrew Saxe
OffRL
445
7
0
17 Jun 2023
Temporally Layered Architecture for Adaptive, Distributed and Continuous
  Control
Temporally Layered Architecture for Adaptive, Distributed and Continuous ControlAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Devdhar Patel
Joshua Russell
Frances Walsh
T. Rahman
Terrance Sejnowski
H. Siegelmann
AI4CE
312
1
0
25 Dec 2022
Simultaneously Updating All Persistence Values in Reinforcement Learning
Simultaneously Updating All Persistence Values in Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Luca Sabbioni
Luca Al Daire
L. Bisi
Alberto Maria Metelli
Marcello Restelli
144
3
0
21 Nov 2022
Optimization of the Model Predictive Control Meta-Parameters Through
  Reinforcement Learning
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
Eivind Bøhn
S. Gros
Signe Moe
T. Johansen
138
25
0
07 Nov 2021
Towards Automatic Actor-Critic Solutions to Continuous Control
Towards Automatic Actor-Critic Solutions to Continuous Control
J. E. Grigsby
Jinsu Yoo
Yanjun Qi
OffRL
150
7
0
16 Jun 2021
1
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