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Vehicle Control: Collision Avoidance using Federated Deep Reinforcement Learning
The dataset used in this paper for vehicle control for collision avoidance using Federated Deep Reinforcement Learning (FDRL) techniques. -
CARLA Simulator
The CARLA simulator dataset is used for vehicle trajectory control. It contains a test track at ZF Friedrichshafen AG, where the start position is indicated by an arrow and the... -
Simulation Dataset
The dataset used in the paper is a simulation dataset, which includes the speed and acceleration profiles of vehicles in different scenarios. -
Benchmark Dataset
The dataset used for benchmarking the proposed data-efficient RL approaches. It contains a test track with waypoints and a global target position and orientation.
