2 papers
cs.LG2024
Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to Markov
Gregory Hyde, Eugene Santos
Many Reinforcement Learning algorithms assume a Markov reward function to guarantee optimality. However, not all reward functions are Markov. This paper proposes a framework for ma…
cs.AI2023
AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge
Chase Yakaboski, Gregory Hyde, Clement Nyanhongo +1
AI for Science (AI4Science), particularly in the form of self-driving labs, has the potential to sideline human involvement and hinder scientific discovery within the broader commu…