Event‐Triggered Off‐Policy Learning for Data‐Efficient Control of Complex Unmodeled Systems
This paper addresses the challenges of low data efficiency and diminished control accuracy in complex systems with completely unknown dynamics. Conventional off‐policy adaptive dynamic programming (ADP) methods, which rely on random data sampling, often lead to the accumulation of irrelevant data, straining computati...