Deep deterministic policy gradient for high-speed train trajectory optimization
L Ning, M Zhou, Z Hou, RMP Goverde… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper proposes a novel train trajectory optimization approach for high-speed railways.
We restrict our attention to single train operation scenarios with different scheduled …
We restrict our attention to single train operation scenarios with different scheduled …
Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization
L Ning, M Zhou, Z Hou, RMP Goverde… - IEEE Transactions …, 2022 - repository.tudelft.nl
This paper proposes a novel train trajectory optimization approach for high-speed railways.
We restrict our attention to single train operation scenarios with different scheduled …
We restrict our attention to single train operation scenarios with different scheduled …
Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization
L Ning, M Zhou, Z Hou, RMP Goverde… - IEEE Transactions on …, 2022 - trid.trb.org
This paper proposes a novel train trajectory optimization approach for high-speed railways.
The authors restrict their attention to single train operation scenarios with different …
The authors restrict their attention to single train operation scenarios with different …
Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization
L Ning, M Zhou, Z Hou, RMP Goverde… - IEEE Transactions …, 2022 - research.tudelft.nl
This paper proposes a novel train trajectory optimization approach for high-speed railways.
We restrict our attention to single train operation scenarios with different scheduled …
We restrict our attention to single train operation scenarios with different scheduled …