Evaluating cooperative-competitive dynamics with deep Q-learning (2023)

Neurocomputing Authors Anikó Kopacz, Lehel Csató, Camelia Chira Abstract We model cooperative-competitive social group dynamics with multi-agent environments, specialized in cases with a large number of agents from only a few distinct types. The multi-agent optimization problems are addressed in turn with multi-agent reinforcement learning algorithms to obtain flexible and robust solutions. We analyze…

Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments (2022)

Soft Computing Models in Industrial and Environmental Applications Authors Anikó Kopacz, L. Csató, Camelia Chira Abstract Cooperative-competitive social group dynamics may be modelled with multi-agent environments with a large number of agents from a few distinct agent-types. Even the simplest games modelling social interactions are suitable to analyze emerging group dynamics. In many cases,…