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Safe Reinforcement Learning with Probabilistic Guarantees Satisfying
  Temporal Logic Specifications in Continuous Action Spaces

Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces

12 December 2022
Hanna Krasowski
Prithvi Akella
Aaron D. Ames
Matthias Althoff
ArXivPDFHTML

Papers citing "Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces"

4 / 4 papers shown
Title
LTL-Constrained Policy Optimization with Cycle Experience Replay
LTL-Constrained Policy Optimization with Cycle Experience Replay
Ameesh Shah
Cameron Voloshin
Chenxi Yang
Abhinav Verma
Swarat Chaudhuri
S. Seshia
29
1
0
17 Apr 2024
Guarantees on Robot System Performance Using Stochastic Simulation
  Rollouts
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts
Joseph A. Vincent
Aaron O. Feldman
Mac Schwager
38
6
0
19 Sep 2023
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
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
57
52
0
02 Mar 2020
1