Learning to Control in Metric Space with Optimal Regret

5 May 2019

Papers citing "Learning to Control in Metric Space with Optimal Regret"

7 / 7 papers shown

Title
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control Haoran Wang Yaoru Sun Zeshen Tang Haibo Shi Chenyuan Jiao 78 0 0 12 Oct 2024
Efficient Model-free Reinforcement Learning in Metric Spaces Zhao Song Wen Sun OffRL 44 39 0 01 May 2019
Stochastic Lipschitz Q-Learning Xu Zhu 38 4 0 24 Apr 2019
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 49 283 0 23 May 2018
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 125 12,227 0 19 Dec 2013
Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization Zheng Wen Benjamin Van Roy 57 42 0 18 Jul 2013
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 74 320 0 11 Jul 2012