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Statistically Model Checking PCTL Specifications on Markov Decision
  Processes via Reinforcement Learning
v1v2 (latest)

Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning

IEEE Conference on Decision and Control (CDC), 2020
1 April 2020
Yu Wang
Nima Roohi
Matthew West
Mahesh Viswanathan
Geir E. Dullerud
ArXiv (abs)PDFHTML

Papers citing "Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning"

11 / 11 papers shown
Formal Verification of Noisy Quantum Reinforcement Learning Policies
Formal Verification of Noisy Quantum Reinforcement Learning Policies
Dennis Gross
129
0
0
01 Dec 2025
Verifying Memoryless Sequential Decision-making of Large Language Models
Verifying Memoryless Sequential Decision-making of Large Language Models
Dennis Gross
Helge Spieker
A. Gotlieb
LRM
148
0
0
08 Oct 2025
Bounded PCTL Model Checking of Large Language Model Outputs
Bounded PCTL Model Checking of Large Language Model Outputs
Dennis Gross
Helge Spieker
A. Gotlieb
150
0
0
23 Sep 2025
Turn-based Multi-Agent Reinforcement Learning Model CheckingInternational Conference on Agents and Artificial Intelligence (ICAART), 2025
Dennis Gross
204
0
0
06 Jan 2025
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning PoliciesInternational Conference on Agents and Artificial Intelligence (ICAART), 2025
Dennis Gross
Helge Spieker
LLMSV
180
1
0
06 Jan 2025
Safety-Oriented Pruning and Interpretation of Reinforcement Learning
  Policies
Safety-Oriented Pruning and Interpretation of Reinforcement Learning PoliciesThe European Symposium on Artificial Neural Networks (ESANN), 2024
Dennis Gross
Helge Spieker
AAMLOffRL
232
6
0
16 Sep 2024
Probabilistic Model Checking of Stochastic Reinforcement Learning
  Policies
Probabilistic Model Checking of Stochastic Reinforcement Learning Policies
Dennis Gross
Helge Spieker
OffRL
230
5
0
27 Mar 2024
On the Limitations of Markovian Rewards to Express Multi-Objective,
  Risk-Sensitive, and Modal Tasks
On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal TasksConference on Uncertainty in Artificial Intelligence (UAI), 2024
Joar Skalse
Alessandro Abate
234
12
0
26 Jan 2024
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via
  Model Checking
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model CheckingInternational Conference on Agents and Artificial Intelligence (ICAART), 2022
Dennis Gross
T. D. Simão
N. Jansen
G. Pérez
AAML
212
3
0
10 Dec 2022
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model
  Checking
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model CheckingInternational Symposium on Software Engineering: Theories, Tools, and Applications (SETTA), 2022
Dennis Gross
N. Jansen
Sebastian Junges
G. Pérez
153
19
0
15 Sep 2022
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic GuidanceArtificial Intelligence (AI), 2019
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
494
64
0
02 Feb 2019
1
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