10 datasets found

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...

The BabyAI levels dataset is a collection of levels with increasing degrees of complexity, where agents need to solve tasks in a simulated environment.

The BabyAI dataset is a collection of sequential decision-making problems where agents need to navigate and act in a simulated environment.

This paper introduces Trajectron, a probabilistic multi-agent trajectory modeling framework.

The dataset used in the paper is a multi-agent reinforcement learning environment, where agents need to communicate with each other to achieve their goals.

The dataset used in the paper is a discrete-time blended dynamics theorem, which is a discrete-time version of the blended dynamics theorem for the use of designing distributed...

The dataset used in the paper is a real-world packet routing system with limited-bandwidth restriction.

The dataset used in the paper is a negotiation team dataset, where team members negotiate against different types of opponents (competitors, matchers, and conceders).

The CARLA dataset is a complex urban-like environment with multi-agent dynamics, pedestrians, intersections, cross-traffic, roundabout, and changing weather conditions.

The dataset used in this paper is a collection of 34 games of football event and tracking data.