v1v2v3 (latest)

Continuous-Time Model-Based Reinforcement Learning

International Conference on Machine Learning (ICML), 2021

9 February 2021

Harri Lähdesmäki

Papers citing "Continuous-Time Model-Based Reinforcement Learning"

35 / 35 papers shown

Title
AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control Shao-Yi Yu Jen-Wei Wang Maya Horii Vikas Garg Tarek Zohdi 72 0 0 06 Oct 2025
Bridging Discrete and Continuous RL: Stable Deterministic Policy Gradient with Martingale Characterization Ziheng Cheng Xin Guo Yufei Zhang OffRL 70 0 0 28 Sep 2025
Learning non-Markovian Dynamical Systems with Signature-based Encoders Eliott Pradeleix Rémy Hosseinkhan Boucher Alena Shilova Onofrio Semeraro L. Mathelin 60 0 0 15 Sep 2025
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning Xuefeng Wang Lei Zhang Henglin Pu Ahmed H. Qureshi Husheng Li 165 0 0 11 Sep 2025
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation Runze Zhao Yue Yu Ruhan Wang Chunfeng Huang Dongruo Zhou 126 0 0 04 Aug 2025
A Temporal Difference Method for Stochastic Continuous Dynamics Haruki Settai Naoya Takeishi Takehisa Yairi 492 0 0 21 May 2025
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationConference on Uncertainty in Artificial Intelligence (UAI), 2025 Runze Zhao Yue Yu Adams Yiyue Zhu Chen Yang Dongruo Zhou 193 1 0 20 May 2025
Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization D. Leeftink Çağatay Yıldız Steffen Ridderbusch Max Hinne Marcel van Gerven 207 1 0 03 Apr 2025
Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning Yanwei Jia Du Ouyang Yufei Zhang 281 9 0 13 Mar 2025
Tuning Frequency Bias of State Space ModelsInternational Conference on Learning Representations (ICLR), 2024 Annan Yu Dongwei Lyu Soon Hoe Lim Michael W. Mahoney N. Benjamin Erichson 274 12 0 02 Oct 2024
Model-based Policy Optimization using Symbolic World Model Andrey Gorodetskiy Konstantin Mironov Aleksandr I. Panov 228 3 0 18 Jul 2024
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning Zakariae El Asri Olivier Sigaud Nicolas Thome 183 1 0 02 Jul 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL Lenart Treven Bhavya Sukhija Yarden As Florian Dorfler Andreas Krause 387 6 0 03 Jun 2024
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control Wenhan Cao Wei Pan 189 1 0 27 Feb 2024
Data-driven optimal stopping: A pure exploration analysis Soren Christensen Niklas Dexheimer Claudia Strauch 146 3 0 10 Dec 2023
Efficient Exploration in Continuous-time Model-based Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Lenart Treven Jonas Hübotter Bhavya Sukhija Florian Dorfler Andreas Krause 215 16 0 30 Oct 2023
Robustifying State-space Models for Long Sequences via Approximate DiagonalizationInternational Conference on Learning Representations (ICLR), 2023 Annan Yu Arnur Nigmetov Dmitriy Morozov Michael W. Mahoney N. Benjamin Erichson 223 15 0 02 Oct 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPsNeural Information Processing Systems (NeurIPS), 2023 Xu Zhao Duzhen Zhang Liyuan Han Tielin Zhang Bo Xu 199 14 0 25 Sep 2023
Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance GuaranteesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Brent A. Wallace J. Si 193 4 0 18 Jul 2023
Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes M. Ross Markus Heinonen 119 4 0 03 Mar 2023
Neural Laplace Control for Continuous-time Delayed SystemsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 266 12 0 24 Feb 2023
Neural Optimal Control using Learned System DynamicsIEEE International Conference on Robotics and Automation (ICRA), 2023 Selim Engin Volkan Isler 148 3 0 20 Feb 2023
CERiL: Continuous Event-based Reinforcement LearningBritish Machine Vision Conference (BMVC), 2023 Celyn Walters Simon Hadfield OffRL 129 3 0 15 Feb 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-offNeural Information Processing Systems (NeurIPS), 2022 Zichen Zhang Johannes Kirschner Junxi Zhang Francesco Zanini Alex Ayoub Masood Dehghan Dale Schuurmans OffRL 284 3 0 17 Dec 2022
Dynamic Decision Frequency with Continuous OptionsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Amir-Hossein Karimi Jun Jin Jun Luo A. R. Mahmood Martin Jägersand Samuele Tosatto 260 10 0 06 Dec 2022
Neural ODEs as Feedback Policies for Nonlinear Optimal ControlIFAC-PapersOnLine (IFAC-PapersOnLine), 2022 I. O. Sandoval Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona 150 11 0 20 Oct 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential EquationsIEEE Transactions on robotics (TRO), 2022 Achkan Salehi Steffen Rühl Stéphane Doncieux AI4CE 336 3 0 25 Jul 2022
Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models Louis Sharrock 175 2 0 14 Jun 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning RulesNeural Information Processing Systems (NeurIPS), 2022 Kazuki Irie Francesco Faccio Jürgen Schmidhuber AI4TS 253 17 0 03 Jun 2022
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEsNeural Information Processing Systems (NeurIPS), 2022 Çağatay Yıldız M. Kandemir Barbara Rakitsch 304 14 0 24 May 2022
Temporal Difference Learning with Continuous Time and State in the Stochastic Setting Ziad Kobeissi Francis R. Bach OffRL 231 4 0 16 Feb 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2022 Chao Qu Jue Chen Siqiao Xue Xiaoming Shi James Y. Zhang Hongyuan Mei OffRL 205 21 0 29 Jan 2022
Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient Namhoon Cho Hyo-Sang Shin 184 2 0 17 Jan 2022
Characteristic Neural Ordinary Differential EquationsInternational Conference on Learning Representations (ICLR), 2021 Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 338 3 0 25 Nov 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and AlgorithmsJournal of machine learning research (JMLR), 2021 Yanwei Jia X. Zhou OffRL 307 116 0 22 Nov 2021