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Reinforcement Learning for Temporal Logic Control Synthesis with
  Probabilistic Satisfaction Guarantees

Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees

11 September 2019
Mohammadhosein Hasanbeig
Y. Kantaros
Alessandro Abate
Daniel Kroening
George J. Pappas
Insup Lee
    AI4CE
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Papers citing "Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees"

50 / 68 papers shown
Title
Average Reward Reinforcement Learning for Omega-Regular and Mean-Payoff Objectives
Average Reward Reinforcement Learning for Omega-Regular and Mean-Payoff Objectives
Milad Kazemi
Mateo Perez
Fabio Somenzi
Sadegh Soudjani
Ashutosh Trivedi
Alvaro Velasquez
7
0
0
21 May 2025
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
Rajarshi Roy
Yash Pote
David Parker
Marta Kwiatkowska
8
0
0
17 May 2025
Qualitative Analysis of $ω$-Regular Objectives on Robust MDPs
Qualitative Analysis of ωωω-Regular Objectives on Robust MDPs
Ali Asadi
Krishnendu Chatterjee
Ehsan Kafshdar Goharshady
Mehrdad Karrabi
Ali Shafiee
50
0
0
07 May 2025
We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
Minkyu Choi
S P Sharan
Harsh Goel
Sahil Shah
Sandeep Chinchali
DiffM
VGen
91
1
0
24 Apr 2025
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu
Arshia Rafieioskouei
Borzoo Bonakdarpour
41
0
0
07 Apr 2025
Planning with Linear Temporal Logic Specifications: Handling Quantifiable and Unquantifiable Uncertainty
Planning with Linear Temporal Logic Specifications: Handling Quantifiable and Unquantifiable Uncertainty
Pian Yu
Yong Li
David Parker
Marta Z. Kwiatkowska
56
0
0
26 Feb 2025
Adaptive Reward Design for Reinforcement Learning
Adaptive Reward Design for Reinforcement Learning
Minjae Kwon
Ingy Elsayed-Aly
Lu Feng
75
2
0
14 Dec 2024
Multi-agent Path Finding for Timed Tasks using Evolutionary Games
Multi-agent Path Finding for Timed Tasks using Evolutionary Games
Sheryl Paul
Anand Balakrishnan
Xin Qin
Jyotirmoy V. Deshmukh
31
0
0
15 Nov 2024
Learning Hidden Subgoals under Temporal Ordering Constraints in
  Reinforcement Learning
Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning
Duo Xu
Faramarz Fekri
OffRL
38
0
0
03 Nov 2024
Progressive Safeguards for Safe and Model-Agnostic Reinforcement
  Learning
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning
Nabil Omi
Hosein Hasanbeig
Hiteshi Sharma
Sriram K. Rajamani
S. Sen
45
8
0
31 Oct 2024
Minimum-Violation Temporal Logic Planning for Heterogeneous Robots under Robot Skill Failures
Minimum-Violation Temporal Logic Planning for Heterogeneous Robots under Robot Skill Failures
Samarth Kalluraya
Beichen Zhou
Y. Kantaros
30
1
0
22 Oct 2024
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
37
5
0
16 Oct 2024
Convergence Guarantee of Dynamic Programming for LTL Surrogate Reward
Convergence Guarantee of Dynamic Programming for LTL Surrogate Reward
Zetong Xuan
Yu Wang
21
0
0
10 Aug 2024
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
41
0
0
05 Jun 2024
On the Uniqueness of Solution for the Bellman Equation of LTL Objectives
On the Uniqueness of Solution for the Bellman Equation of LTL Objectives
Zetong Xuan
A. Bozkurt
Miroslav Pajic
Yu Wang
24
4
0
07 Apr 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
39
18
0
20 Feb 2024
Safeguarded Progress in Reinforcement Learning: Safe Bayesian
  Exploration for Control Policy Synthesis
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
Rohan Mitta
Hosein Hasanbeig
Jun Wang
Daniel Kroening
Y. Kantaros
Alessandro Abate
13
1
0
18 Dec 2023
Compositional Policy Learning in Stochastic Control Systems with Formal
  Guarantees
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
Dorde Zikelic
Mathias Lechner
Abhinav Verma
K. Chatterjee
T. Henzinger
38
10
0
03 Dec 2023
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
Searching for Optimal Runtime Assurance via Reachability and
  Reinforcement Learning
Searching for Optimal Runtime Assurance via Reachability and Reinforcement Learning
Kristina Miller
Christopher K. Zeitler
William Shen
Kerianne L. Hobbs
Sayan Mitra
John Schierman
Mahesh Viswanathan
16
0
0
06 Oct 2023
Evaluating Cognitive Maps and Planning in Large Language Models with
  CogEval
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad
Hosein Hasanbeig
Felipe Vieira Frujeri
Hiteshi Sharma
Robert Osazuwa Ness
Nebojsa Jojic
Hamid Palangi
Jonathan Larson
ELM
LLMAG
LRM
34
66
0
25 Sep 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
40
15
0
24 Sep 2023
Reinforcement Learning of Action and Query Policies with LTL
  Instructions under Uncertain Event Detector
Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Wataru Hatanaka
R. Yamashina
Takamitsu Matsubara
20
5
0
06 Sep 2023
Omega-Regular Reward Machines
Omega-Regular Reward Machines
E. M. Hahn
Mateo Perez
S. Schewe
Fabio Somenzi
Ashutosh Trivedi
D. Wojtczak
OffRL
13
2
0
14 Aug 2023
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep
  Reinforcement Learning Approach
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
Iman Sharifi
M. Yildirim
Saber Fallah
33
5
0
03 Jul 2023
PAGAR: Taming Reward Misalignment in Inverse Reinforcement
  Learning-Based Imitation Learning with Protagonist Antagonist Guided
  Adversarial Reward
PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
Weichao Zhou
Wenchao Li
31
0
0
02 Jun 2023
Policy Synthesis and Reinforcement Learning for Discounted LTL
Policy Synthesis and Reinforcement Learning for Discounted LTL
Rajeev Alur
Osbert Bastani
Kishor Jothimurugan
Mateo Perez
Fabio Somenzi
Ashutosh Trivedi
OffRL
19
11
0
26 May 2023
Resilient Temporal Logic Planning in the Presence of Robot Failures
Resilient Temporal Logic Planning in the Presence of Robot Failures
Samarth Kalluraya
George J. Pappas
Y. Kantaros
37
11
0
09 May 2023
Sample Efficient Model-free Reinforcement Learning from LTL
  Specifications with Optimality Guarantees
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Daqian Shao
Marta Kwiatkowska
OffRL
29
7
0
02 May 2023
Model-free Motion Planning of Autonomous Agents for Complex Tasks in
  Partially Observable Environments
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments
Junchao Li
Mingyu Cai
Z. Kan
Shaoping Xiao
28
1
0
30 Apr 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRL
LRM
55
7
0
24 Apr 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
24
4
0
23 Apr 2023
Topological Guided Actor-Critic Modular Learning of Continuous Systems
  with Temporal Objectives
Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives
Lening Li
Zhentian Qian
27
0
0
20 Apr 2023
Safe Reinforcement Learning via Probabilistic Logic Shields
Safe Reinforcement Learning via Probabilistic Logic Shields
Wen-Chi Yang
G. Marra
Gavin Rens
Luc de Raedt
OffRL
46
30
0
06 Mar 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
Hierarchical Motion Planning under Probabilistic Temporal Tasks and
  Safe-Return Constraints
Hierarchical Motion Planning under Probabilistic Temporal Tasks and Safe-Return Constraints
Meng Guo
T. Liao
Junjie Wang
Zhongkui Li
43
6
0
10 Feb 2023
Learning Symbolic Representations for Reinforcement Learning of
  Non-Markovian Behavior
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior
Phillip J. K. Christoffersen
Andrew C. Li
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
9
5
0
08 Jan 2023
Reinforcement Causal Structure Learning on Order Graph
Reinforcement Causal Structure Learning on Order Graph
Dezhi Yang
Guoxian Yu
Jun Wang
Zhe Wu
Maozu Guo
BDL
CML
37
16
0
22 Nov 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Xiaowu Sun
Yasser Shoukry
48
11
0
11 Oct 2022
Learning Minimally-Violating Continuous Control for Infeasible Linear
  Temporal Logic Specifications
Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications
Mingyu Cai
Makai Mann
Zachary Serlin
Kevin J. Leahy
C. Vasile
32
12
0
03 Oct 2022
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory
  Search with Reinforcement Learning
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning
Mario Srouji
Hugues Thomas
Yao-Hung Tsai
Ali Farhadi
Jian Zhang
48
5
0
23 Sep 2022
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement
  Learning
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
25
15
0
21 Sep 2022
Specification-Guided Learning of Nash Equilibria with High Social
  Welfare
Specification-Guided Learning of Nash Equilibria with High Social Welfare
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
39
9
0
06 Jun 2022
Synthesis from Satisficing and Temporal Goals
Synthesis from Satisficing and Temporal Goals
Suguman Bansal
Lydia E. Kavraki
Moshe Y. Vardi
Andrew M. Wells
21
3
0
20 May 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
20
0
13 May 2022
Contingency-constrained economic dispatch with safe reinforcement
  learning
Contingency-constrained economic dispatch with safe reinforcement learning
Michael Eichelbeck
H. Markgraf
Matthias Althoff
13
10
0
12 May 2022
Accelerated Reinforcement Learning for Temporal Logic Control Objectives
Accelerated Reinforcement Learning for Temporal Logic Control Objectives
Y. Kantaros
16
11
0
09 May 2022
Reinforcement Learning Guided by Provable Normative Compliance
Reinforcement Learning Guided by Provable Normative Compliance
Emery A. Neufeld
16
2
0
30 Mar 2022
On the (In)Tractability of Reinforcement Learning for LTL Objectives
On the (In)Tractability of Reinforcement Learning for LTL Objectives
Cambridge Yang
Michael Littman
Michael Carbin
8
18
0
24 Nov 2021
12
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