Learning the behavior of large agent populations is an important task for numerous research areas. Although the field of ...
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
Recent developments in the field of complex systems have shown that real-world multiagent systems are often not ...
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
