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cs.LG2025
Machine Learning Model Integration with Open World Temporal Logic for Process Automation
Dyuman Aditya, Colton Payne, Mario Leiva +1
Recent advances in Machine Learning (ML) have produced models that extract structured information from complex data. However, a significant challenge lies in translating these perc…
cs.LG2023
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning
Kaustuv Mukherji, Devendra Parkar, Lahari Pokala +3
Recent advances in reinforcement learning (RL) have shown much promise across a variety of applications. However, issues such as scalability, explainability, and Markovian assumpti…