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Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off

17 December 2022

Papers citing "Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off"

23 / 23 papers shown

Title
Offline Reinforcement Learning at Multiple Frequencies Kaylee Burns Tianhe Yu Chelsea Finn Karol Hausman OffRL 70 6 0 26 Jul 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces Mojmír Mutný Andreas Krause 71 11 0 26 May 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 117 84 0 22 Nov 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park Jaekyeom Kim Gunhee Kim 63 24 0 06 Nov 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 54 9 0 05 Oct 2021
Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach Yanwei Jia X. Zhou OffRL 64 67 0 15 Aug 2021
Value Iteration in Continuous Actions, States and Time M. Lutter Shie Mannor Jan Peters Dieter Fox Animesh Garg 41 36 0 10 May 2021
Continuous-Time Model-Based Reinforcement Learning Çağatay Yıldız Markus Heinonen Harri Lähdesmäki OffRL 56 58 0 09 Feb 2021
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 67 86 0 04 Dec 2020
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls Jeongho Kim Jaeuk Shin Insoon Yang 44 35 0 27 Oct 2020
Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon Matteo Basei Xin Guo Anran Hu Yufei Zhang 55 42 0 27 Jun 2020
Provably adaptive reinforcement learning in metric spaces Tongyi Cao A. Krishnamurthy 73 7 0 18 Jun 2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning Alberto Maria Metelli Flavio Mazzolini L. Bisi Luca Sabbioni Marcello Restelli 35 41 0 17 Feb 2020
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 49 39 0 17 Oct 2019
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator K. Krauth Stephen Tu Benjamin Recht 69 61 0 30 May 2019
Making Deep Q-learning methods robust to time discretization Corentin Tallec Léonard Blier Yann Ollivier OOD OffRL 49 91 0 28 Jan 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint Stephen Tu Benjamin Recht OffRL 73 151 0 09 Dec 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 53 285 0 23 May 2018
Model-Free Linear Quadratic Control via Reduction to Expert Prediction Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári OffRL 81 96 0 17 Apr 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 86 609 0 15 Jan 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 67 131 0 22 Dec 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 73 579 0 04 Oct 2017
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 94 1,013 0 02 Mar 2016