TempoRL: Learning When to Act

TempoRL: Learning When to Act

9 June 2021

André Biedenkapp

Raghunandan Rajan

Marius Lindauer

Papers citing "TempoRL: Learning When to Act"

15 / 15 papers shown

Title
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 37 0 0 11 Oct 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL Lenart Treven Bhavya Sukhija Yarden As Florian Dorfler Andreas Krause 39 0 0 03 Jun 2024
Learning Uncertainty-Aware Temporally-Extended Actions Joongkyu Lee Seung Joon Park Yunhao Tang Min-hwan Oh 19 2 0 08 Feb 2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning Ge Li Hongyi Zhou Dominik Roth Serge Thilges Fabian Otto Rudolf Lioutikov Gerhard Neumann OffRL 27 7 0 21 Jan 2024
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy Jung-Hoon Cho Sirui Li Jeongyun Kim Cathy Wu 19 3 0 27 Nov 2023
Actor-Critic with variable time discretization via sustained actions Jakub Lyskawa Pawel Wawrzyñski OffRL 13 0 0 08 Aug 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism Byeongchang Kim Min Hwan Oh OffRL 17 12 0 21 Jul 2023
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control Devdhar Patel Joshua Russell Frances Walsh T. Rahman Terrance Sejnowski H. Siegelmann AI4CE 43 1 0 25 Dec 2022
Simultaneously Updating All Persistence Values in Reinforcement Learning Luca Sabbioni Luca Al Daire L. Bisi Alberto Maria Metelli Marcello Restelli 27 2 0 21 Nov 2022
Temporally Extended Successor Representations Matthew J. Sargent Peter J Bentley Caswell Barry W. D. Cothi 24 1 0 25 Sep 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 32 36 0 27 May 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 38 10 0 24 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
TAAC: Temporally Abstract Actor-Critic for Continuous Control Haonan Yu Wei-ping Xu Haichao Zhang OffRL 13 21 0 13 Apr 2021
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Raghunandan Rajan Jessica Lizeth Borja Diaz Suresh Guttikonda Fabio Ferreira André Biedenkapp Jan Ole von Hartz Frank Hutter 33 3 0 17 Sep 2019