A group-conditioned GAIL model predicts individual travelers' month-to-month off-peak choices under fare discounts more accurately than GAIL, cGAIL, and AIRL baselines.
, author Lerman, S.R
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Group Effect Enhanced Generative Adversarial Imitation Learning for Individual Travel Behavior Modeling under Incentives
A group-conditioned GAIL model predicts individual travelers' month-to-month off-peak choices under fare discounts more accurately than GAIL, cGAIL, and AIRL baselines.