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Distributed Logistic Regression Problem
The dataset used in this paper is a distributed logistic regression problem. -
Multi-Agent Learning of Numerical Methods with Factored Dec-MDP
The dataset is used to learn numerical methods for hyperbolic PDEs with factored Dec-MDP. -
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. -
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. -
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. -
TripleSumo
A virtual multi-agent platform called RoboSumo is extended to create TripleSumo, a platform for investigating multi-agent cooperative behaviors in continuous action spaces, with... -
Google Research Football
The Google Research Football environment is a reinforcement learning experimental platform focused on training agents to play football.
