Open access
2026
Event-Triggered Data-Based Reinforcement Learning Control for Optimal Consensus of Heterogeneous Multi-Agent Systems in Graphical Games
An off-policy integral reinforcement learning (IRL) algorithm is devised to ascertain the Nash equilibrium solution utilizing quantifiable system data, thereby obviating the necessity for precise knowledge of the internal system matrices.
Amirhosein Abolhasani, Khalil Alipour, Bahram Tarvirdizadeh et al.
· IEEE Access · 0 citations