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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

AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control

163

06 Oct 2025

Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and State

201

28 Sep 2025

Learning non-Markovian Dynamical Systems with Signature-based Encoders

Eliott Pradeleix

Rémy Hosseinkhan Boucher

Alena Shilova

Onofrio Semeraro

L. Mathelin

125

15 Sep 2025

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning

248

11 Sep 2025

Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation

263

04 Aug 2025

A Temporal Difference Method for Stochastic Continuous Dynamics

Haruki Settai

Naoya Takeishi

Takehisa Yairi

583

21 May 2025

Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationConference on Uncertainty in Artificial Intelligence (UAI), 2025

280

20 May 2025

Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization

317

03 Apr 2025

Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning

Yanwei Jia

Du Ouyang

Yufei Zhang

422

13 Mar 2025

Tuning Frequency Bias of State Space ModelsInternational Conference on Learning Representations (ICLR), 2024

403

02 Oct 2024

Model-based Policy Optimization using Symbolic World Model

Andrey Gorodetskiy

Konstantin Mironov

Aleksandr I. Panov

287

18 Jul 2024

Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning

Zakariae El Asri

Olivier Sigaud

Nicolas Thome

258

02 Jul 2024

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL

497

03 Jun 2024

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control

Wenhan Cao

Wei Pan

250

27 Feb 2024

Data-driven optimal stopping: A pure exploration analysis

Soren Christensen

Niklas Dexheimer

Claudia Strauch

197

10 Dec 2023

Efficient Exploration in Continuous-time Model-based Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023

292

30 Oct 2023

Robustifying State-space Models for Long Sequences via Approximate DiagonalizationInternational Conference on Learning Representations (ICLR), 2023

315

02 Oct 2023

ODE-based Recurrent Model-free Reinforcement Learning for POMDPsNeural Information Processing Systems (NeurIPS), 2023

Liyuan Han

316

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

255

18 Jul 2023

Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes

M. Ross

Markus Heinonen

185

03 Mar 2023

Neural Laplace Control for Continuous-time Delayed SystemsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

403

24 Feb 2023

Neural Optimal Control using Learned System DynamicsIEEE International Conference on Robotics and Automation (ICRA), 2023

Selim Engin

Volkan Isler

215

20 Feb 2023

CERiL: Continuous Event-based Reinforcement LearningBritish Machine Vision Conference (BMVC), 2023

Celyn Walters

Simon Hadfield

OffRL

184

15 Feb 2023

Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-offNeural Information Processing Systems (NeurIPS), 2022

369

17 Dec 2022

Dynamic Decision Frequency with Continuous OptionsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022

330

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

223

20 Oct 2022

Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential EquationsIEEE Transactions on robotics (TRO), 2022

428

25 Jul 2022

Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models

Louis Sharrock

256

14 Jun 2022

Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning RulesNeural Information Processing Systems (NeurIPS), 2022

388

03 Jun 2022

Learning Interacting Dynamical Systems with Latent Gaussian Process ODEsNeural Information Processing Systems (NeurIPS), 2022

Çağatay Yıldız

M. Kandemir

Barbara Rakitsch

414

24 May 2022

Temporal Difference Learning with Continuous Time and State in the Stochastic Setting

Ziad Kobeissi

Francis R. Bach

OffRL

288

16 Feb 2022

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2022

320

29 Jan 2022

Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient

Namhoon Cho

Hyo-Sang Shin

254

17 Jan 2022

Characteristic Neural Ordinary Differential EquationsInternational Conference on Learning Representations (ICLR), 2021

467

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

517

128

22 Nov 2021