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LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement
  Learning

LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning

21 September 2022
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
ArXivPDFHTML

Papers citing "LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning"

12 / 12 papers shown
Title
Sample-Efficient Reinforcement Learning with Temporal Logic Objectives:
  Leveraging the Task Specification to Guide Exploration
Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration
Y. Kantaros
Jun Wang
34
5
0
16 Oct 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
Verified Compositional Neuro-Symbolic Control for Stochastic Systems
  with Temporal Logic Tasks
Verified Compositional Neuro-Symbolic Control for Stochastic Systems with Temporal Logic Tasks
Jun Wang
Haojun Chen
Zihe Sun
Y. Kantaros
38
0
0
17 Nov 2023
ALLURE: Auditing and Improving LLM-based Evaluation of Text using
  Iterative In-Context-Learning
ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning
Hosein Hasanbeig
Hiteshi Sharma
Leo Betthauser
Felipe Vieira Frujeri
Ida Momennejad
38
15
0
24 Sep 2023
Probabilistic Counterexample Guidance for Safer Reinforcement Learning
  (Extended Version)
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)
Xiaotong Ji
Antonio Filieri
OffRL
22
1
0
10 Jul 2023
Inverse Constraint Learning and Generalization by Transferable Reward
  Decomposition
Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
Jaehwi Jang
Minjae Song
Daehyung Park
16
0
0
21 Jun 2023
System III: Learning with Domain Knowledge for Safety Constraints
System III: Learning with Domain Knowledge for Safety Constraints
Fazl Barez
Hosien Hasanbieg
Alesandro Abbate
19
4
0
23 Apr 2023
Co-learning Planning and Control Policies Constrained by Differentiable
  Logic Specifications
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Zikang Xiong
Daniel Lawson
Joe Eappen
A. H. Qureshi
Suresh Jagannathan
13
0
0
02 Mar 2023
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model
  Checking
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking
Dennis Gross
N. Jansen
Sebastian Junges
G. Pérez
35
9
0
15 Sep 2022
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and
  Benchmarking
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking
Hanna Krasowski
Jakob Thumm
Marlon Müller
Lukas Schäfer
Xiao Wang
Matthias Althoff
88
19
0
13 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
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
16
52
0
02 Feb 2019
1