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Formal Policy Synthesis for Continuous-Space Systems via Reinforcement
  Learning

Formal Policy Synthesis for Continuous-Space Systems via Reinforcement Learning

4 May 2020
M. Kazemi
Sadegh Soudjani
ArXivPDFHTML

Papers citing "Formal Policy Synthesis for Continuous-Space Systems via Reinforcement Learning"

5 / 5 papers shown
Title
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Mathias Jackermeier
Alessandro Abate
OffRL
43
1
0
06 Oct 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems:
  Developments and Challenges
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges
Xiang Yin
Bingzhao Gao
Xiao Yu
37
18
0
20 Feb 2024
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
Data-Driven Verification under Signal Temporal Logic Constraints
Data-Driven Verification under Signal Temporal Logic Constraints
Ali Salamati
Sadegh Soudjani
Majid Zamani
22
13
0
08 May 2020
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free
  Reinforcement Learning
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning
Abolfazl Lavaei
F. Somenzi
Sadegh Soudjani
Ashutosh Trivedi
Majid Zamani
63
52
0
02 Mar 2020
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