4 papers
-fair heterogeneous agent reinforcement learning
Yao-hua Franck Xu, Tayeb Lemlouma, Jean-Marie Bonnin +1
Cooperation in multi-agent systems is typically optimized through utilitarian objectives that maximize overall efficiency but fail to account for reward distribution, often resulti…
Altruism and Fair Objective in Mixed-Motive Markov games
Yao-hua Franck Xu, Tayeb Lemlouma, Arnaud Braud +1
Cooperation is fundamental for society's viability, as it enables the emergence of structure within heterogeneous groups that seek collective well-being. However, individuals are i…
Simulation of Autonomous Industrial Vehicle Fleet Using Fuzzy Agents: Application to Task Allocation and Battery Charge Management
Juliette Grosset, Alain-Jérôme Fougères, Ouzna Oukacha +2
The research introduces a multi-agent simulation that uses fuzzy inference to investigate the work distribution and battery charging control of mobile baggage conveyor robots in an…
Collision and Obstacle Avoidance for Industrial Autonomous Vehicles -- Simulation and Experimentation Based on a Cooperative Approach
Juliette Grosset, Alain-Jérôme Fougères, M Djoko-Kouam +2
One of the challenges of Industry 4.0, is to determine and optimize the flow of data, products and materials in manufacturing companies. To realize these challenges, many solutions…