GDM Holding received 1 granted patent in H1 2026, falling within AI & Machine Learning (1).
The patent covers a multi-agent reinforcement learning system designed to train AI agents on complex tasks. This approach enables agents to learn from one another through cooperative and competitive matchmaking policies.
The single AI & Machine Learning patent centers on a system for training multiple AI agents simultaneously, where the agents improve by interacting with one another rather than learning in isolation. At the core of the approach is a matchmaking policy framework that decides which agents get paired together during training, allowing each learner to operate with its own distinct strategy and hyperparameters while still absorbing lessons from the behaviors of others. Over time, this creates a population of agents that collectively grow more capable, each one benefiting from the accumulated experience distributed across the group.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.