A physics-guided RL agent that uses line outage distribution factors to choose practice actions during training achieves longer average blackout survival on Grid2Op benchmarks than random exploration.
David Fuller, Raynier Ramasra, and Amanda Cha
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors
A physics-guided RL agent that uses line outage distribution factors to choose practice actions during training achieves longer average blackout survival on Grid2Op benchmarks than random exploration.