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

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

8 / 8 papers shown

Title
On the stability of Lipschitz continuous control problems and its application to reinforcement learning Namkyeong Cho Yeoneung Kim 28 0 0 20 Apr 2024
Adversarial Path Planning for Optimal Camera Positioning Gaia Carenini Alexandre Duplessis 24 0 0 14 Feb 2023
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) Amartya Mukherjee Jun Liu 20 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 24 3 0 17 Dec 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 58 70 0 02 Jul 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 34 79 0 22 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
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 197 42 0 26 Sep 2019