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Transfer learning dataset for shallow-water equations
The transfer learning dataset consists of a single trajectory of the shallow-water equations with different initial conditions, sampled with a time-step of 0.1. -
Testing dataset for shallow-water equations
The testing dataset consists of 20 trajectories of the shallow-water equations with different initial conditions, including shifts in the water height and velocity. -
Training dataset for shallow-water equations
The training dataset consists of 20 trajectories of the shallow-water equations with different initial conditions, concatenated together. -
Trajectory Dataset
The dataset used in this paper is a collection of 30 trajectories generated per gridworld map by randomly selecting for each trajectory the initial locations of both the actor... -
Gangnam DTG dataset
The dataset used in this study is the Gangnam DTG dataset, which contains moving patterns of taxis in the Gangnam district. -
Driving Scenario Trajectories
The dataset is used for generating and analyzing driving scenario trajectories. -
Trajectories Produced by Different Combinations of Rewards and Construals
The dataset used in the paper is a set of trajectories produced by different combinations of rewards and construals.
