Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time
Systems with Lipschitz Continuous Controls

Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls

27 October 2020

Insoon Yang

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Papers citing "Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls"

19 / 19 papers shown

Title
A Temporal Difference Method for Stochastic Continuous Dynamics Haruki Settai Naoya Takeishi Takehisa Yairi 145 0 0 21 May 2025
Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning Yanwei Jia Du Ouyang Yufei Zhang 94 4 0 13 Mar 2025
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Baiting Luo Ava Pettet Aron Laszka A. Dubey Ayan Mukhopadhyay OffRL 86 1 0 28 Feb 2025
LLM-Empowered State Representation for Reinforcement Learning Boyuan Wang Yun Qu Yuhang Jiang Jianzhun Shao Chang-rui Liu Wenming Yang Xiangyang Ji 89 14 0 18 Jul 2024
On the stability of Lipschitz continuous control problems and its application to reinforcement learning Namkyeong Cho Yeoneung Kim 102 0 0 20 Apr 2024
Continuous-time Risk-sensitive Reinforcement Learning via Quadratic Variation Penalty Yanwei Jia 82 2 0 19 Apr 2024
Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees Brent A. Wallace J. Si 104 3 0 18 Jul 2023
Policy Optimization for Continuous Reinforcement Learning Hanyang Zhao Wenpin Tang D. Yao OffRL 80 18 0 30 May 2023
Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs Amartya Mukherjee Jun Liu 55 1 0 18 May 2023
Adversarial Path Planning for Optimal Camera Positioning Gaia Carenini Alexandre Duplessis 30 0 0 14 Feb 2023
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) Amartya Mukherjee Jun Liu 60 11 0 01 Feb 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 79 3 0 17 Dec 2022
Reinforcement Learning with Non-Exponential Discounting M. Schultheis Constantin Rothkopf Heinz Koeppl 59 11 0 27 Sep 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 156 77 0 02 Jul 2022
Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient Namhoon Cho Hyo-Sang Shin 36 2 0 17 Jan 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 121 85 0 22 Nov 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 65 9 0 05 Oct 2021
Robust Value Iteration for Continuous Control Tasks M. Lutter Shie Mannor Jan Peters Dieter Fox Animesh Garg 64 18 0 25 May 2021
Value Iteration in Continuous Actions, States and Time M. Lutter Shie Mannor Jan Peters Dieter Fox Animesh Garg 52 37 0 10 May 2021