-
Distributed Logistic Regression Problem
The dataset used in this paper is a distributed logistic regression problem. -
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... -
No Press Diplomacy Dataset
A large-scale dataset of No Press Diplomacy games, containing more than 150,000 human games. -
Active Defense Multi-Agent Communication (ADMAC)
The dataset used in the paper is a multi-agent communication framework, which is used to evaluate the performance of different communication strategies in a multi-agent system. -
Building a Truly Distributed Constraint Solver with JADE
The distributed constraint solver application is based on a local search algorithm called Distributed Penalty-driven Local search (DisPeL) as its underlying constraint solver. -
Warehouse Games
A set of 25 Warehouse Games, each resembling a situation of patrolling a warehouse building. -
Pricing Mechanism for Resource Sustainability in Competitive Online Learning ...
The dataset used in the paper is a multi-agent system with competing online learning agents. The dataset is used to evaluate the proposed pricing mechanism for resource... -
Backpropagation Through Time and Space
The dataset used in the paper for training a recurrent spatio-temporal network for hyperbolic conservation laws. -
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior -
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. -
DSSE: a Drone Swarm Search Environment
A Drone Swarm Search environment, based on PETTINGZOO, that is to be used in conjunction with multi-agent (or single-agent) reinforcement learning algorithms. -
Multi-Agent Games Using Adaptive Feedback Control
The dataset used in this paper is a set of five game-theoretic tasks (Harmony Game, Hawk-Dove, Stag-Hunt, Prisoners Dilemma and Battle of the Exes) with seven different agent... -
Nonlinear Positive Multi-Agent System
The dataset used in this paper is a nonlinear positive multi-agent system with sector input nonlinearities. -
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...
