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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... -
BabyAI levels
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 Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Sp...
This paper introduces Trajectron, a probabilistic multi-agent trajectory modeling framework. -
Towards True Lossless Sparse Communication in Multi-Agent Systems
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. -
Discrete-time Blended Dynamics Theorem
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... -
Packet Routing System
The dataset used in the paper is a real-world packet routing system with limited-bandwidth restriction. -
Intra-Team Strategies for Teams Negotiating Against Competitor, Matchers, and...
The dataset used in the paper is a negotiation team dataset, where team members negotiate against different types of opponents (competitors, matchers, and conceders). -
Football Event and Tracking Data
The dataset used in this paper is a collection of 34 games of football event and tracking data. -
Leibniz University Hannover
Imported
Data-based System Representation and Synchronization for Multiagent Systems
[*] Victor G. Lopez and Matthias A. Müller, "Data-based System Representation and Synchronization for Multiagent Systems". Proceedings of the IEEE Conference on Decision and...