Dennis Gross

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
COOL-MC: Verifying and Explaining RL Policies for Multi-bridge Network Maintenance.
CoRR, March, 2026

COOL-MC: Verifying and Explaining RL Policies for Platelet Inventory Management.
CoRR, March, 2026

Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC.
CoRR, February, 2026

Semi-supervised CAPP Transformer Learning via Pseudo-labeling.
CoRR, February, 2026

Large language models for high-level computer-aided process planning in a distributed manufacturing paradigm.
Robotics Comput. Integr. Manuf., 2026

2025
Translating the Rashomon Effect to Sequential Decision-Making Tasks.
CoRR, December, 2025

Formal Verification of Noisy Quantum Reinforcement Learning Policies.
CoRR, December, 2025

Verifying Memoryless Sequential Decision-making of Large Language Models.
CoRR, October, 2025

Reusable Test Suites for Reinforcement Learning.
CoRR, August, 2025

PCTL Model Checking for Temporal RL Policy Safety Explanations.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Reusable Test Suites for Reinforcement Learning.
Proceedings of the Testing Software and Systems, 2025

Prompting for Performance: Exploring LLMs for Configuring Software.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Bounded PCTL Model Checking of Large Language Model Outputs.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies.
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024
Efficient Milling Quality Prediction with Explainable Machine Learning.
CoRR, 2024

Enhancing RL Safety with Counterfactual LLM Reasoning.
Proceedings of the Testing Software and Systems, 2024

Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Probabilistic Model Checking of Stochastic Reinforcement Learning Policies.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023
Turn-Based Multi-Agent Reinforcement Learning Model Checking.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023


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