199 citations · 199 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2024
Reinforcement learning
Sarod Yatawatta
Observing celestial objects and advancing our scientific knowledge about them involves tedious planning, scheduling, data collection and data post-processing. Many of these operati…
cs.LG2011★ 199 cited
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints
P. Geibel, F. Wysotzki
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with res…