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Multiagent Navigation Task Environment
The dataset used in this paper is a multiagent navigation task environment. Two robots must navigate to their respective targets while avoiding collisions with each other. The... -
Replay Buffer
The dataset used in the paper is a replay buffer containing observations from a navigation task. -
Environment Optimization for Multi-Agent Navigation
The dataset used in the paper is a 2-D environment with a starting region S, a destination region D, and an obstacle region ∆. The environment is described by a starting region... -
Google Maps demonstration dataset
The dataset used in this paper is a large-scale demonstration dataset containing 110M and 10M training and validation samples, respectively. -
Nordland Railway dataset
The Nordland Railway dataset is a large-scale driving dataset that includes a 728km train journey from Trondheim to Bodø in Nordland, Norway, recorded four times, once per season. -
Multi-Robot Swarm Navigation
The dataset used in this paper is a multi-robot swarm system with 3 quadrotor robots moving in a two-dimensional planar environment. -
Room-to-Room (R2R) dataset
The Room-to-Room (R2R) dataset is a benchmark for vision-and-language navigation tasks. It consists of 7,189 paths sampled from its navigation graphs, each with three... -
Gridworld, Torus, and Four Rooms Environments
The dataset used in the paper is a set of environments with different topological properties, including a gridworld, a torus, and a four rooms environment. The agent is tasked... -
Grid World Navigation Task
The dataset used in the paper is a grid world navigation task with four actions: up, down, left, or right. Transitions are stochastic and with a 5% probability the agent moves...
