Making Deep Q-learning methods robust to time discretization

Making Deep Q-learning methods robust to time discretization

28 January 2019

Corentin Tallec

Papers citing "Making Deep Q-learning methods robust to time discretization"

19 / 19 papers shown

Title
Reinforcement Learning for Jump-Diffusions, with Financial Applications Xuefeng Gao Lingfei Li X. Zhou 48 1 0 08 Jan 2025
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization Homayoon Farrahi Rupam Mahmood 34 5 0 09 May 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off Zichen Zhang Johannes Kirschner Junxi Zhang Francesco Zanini Alex Ayoub Masood Dehghan Dale Schuurmans OffRL 26 3 0 17 Dec 2022
Dynamic Decision Frequency with Continuous Options Amir-Hossein Karimi Jun Jin Jun Luo A. R. Mahmood Martin Jägersand Samuele Tosatto 20 9 0 06 Dec 2022
Square-root regret bounds for continuous-time episodic Markov decision processes Xuefeng Gao X. Zhou 48 6 0 03 Oct 2022
Offline Reinforcement Learning at Multiple Frequencies Kaylee Burns Tianhe Yu Chelsea Finn Karol Hausman OffRL 35 6 0 26 Jul 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 58 70 0 02 Jul 2022
Logarithmic regret bounds for continuous-time average-reward Markov decision processes Xuefeng Gao X. Zhou 41 8 0 23 May 2022
Linear convergence of a policy gradient method for some finite horizon continuous time control problems C. Reisinger Wolfgang Stockinger Yufei Zhang 28 5 0 22 Mar 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 36 79 0 22 Nov 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park Jaekyeom Kim Gunhee Kim 38 23 0 06 Nov 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 15 9 0 05 Oct 2021
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents Hugo Laurençon Charbel-Raphaël Ségerie J. Lussange Boris Gutkin 41 6 0 14 Sep 2021
State-Dependent Temperature Control for Langevin Diffusions Xuefeng Gao Z. Xu X. Zhou 36 27 0 15 Nov 2020
POMDPs in Continuous Time and Discrete Spaces Bastian Alt M. Schultheis Heinz Koeppl 21 9 0 02 Oct 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 32 50 0 29 Jun 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control Ted Xiao Eric Jang Dmitry Kalashnikov Sergey Levine Julian Ibarz Karol Hausman Alexander Herzog 25 37 0 13 Apr 2020
Real-Time Reinforcement Learning Simon Ramstedt C. Pal AI4CE 19 62 0 11 Nov 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 32 28 0 27 Mar 2019