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Reinforcement Learning Based Temporal Logic Control with Maximum
  Probabilistic Satisfaction

Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction

14 October 2020
Mingyu Cai
Shaoping Xiao
Baoluo Li
Zhiliang Li
Z. Kan
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Papers citing "Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction"

6 / 6 papers shown
Title
Reward Machines for Deep RL in Noisy and Uncertain Environments
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li
Zizhao Chen
Toryn Q. Klassen
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
48
6
0
31 May 2024
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
Jun Wang
Hosein Hasanbeig
Kaiyuan Tan
Zihe Sun
Y. Kantaros
35
3
0
28 Nov 2023
Temporal Logic Motion Planning with Convex Optimization via Graphs of
  Convex Sets
Temporal Logic Motion Planning with Convex Optimization via Graphs of Convex Sets
Vince Kurtz
Hai Lin
21
14
0
18 Jan 2023
Accelerated Reinforcement Learning for Temporal Logic Control Objectives
Accelerated Reinforcement Learning for Temporal Logic Control Objectives
Y. Kantaros
16
11
0
09 May 2022
Modular Deep Reinforcement Learning for Continuous Motion Planning with
  Temporal Logic
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
Mingyu Cai
Mohammadhosein Hasanbeig
Shaoping Xiao
Alessandro Abate
Z. Kan
80
86
0
24 Feb 2021
Receding Horizon Control Based Online Motion Planning with Partially
  Infeasible LTL Specifications
Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications
Mingyu Cai
Hao Peng
Zhijun Li
Hongbo Gao
Z. Kan
35
21
0
23 Jul 2020
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