Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings
Samuel A. Moore, Brian P. Mann, Boyuan Chen
Dynamical systems theory has long provided a foundation for understanding evolving phenomena across scientific domains. Yet, the application of this theory to complex real-world sy…
cs.LG2024
Inverse Reinforcement Learning from Non-Stationary Learning Agents
Kavinayan P. Sivakumar, Yi Shen, Zachary Bell +3
In this paper, we study an inverse reinforcement learning problem that involves learning the reward function of a learning agent using trajectory data collected while this agent is…