Deep reinforcement learning (DRL) combines the advantages of perception associated with deep learning and the power of sequential decision-making associated with reinforcement learning. Learnable’s DRL AI is able to self-produce extensive simulation data that enables continuous self-upgrade and optimal predictive output. Powered by DRL technologies, Learnable has developed three types of AI models with distinct capabilities.
Interactive AI learns through interacting with human users. Based on its sophisticated capability to understand various types of human feedback, Interactive AI effectively builds a cognitive system that can comprehend human intention through interactions, even when such interactions are limited.
Like the human brain, eXplainable AI (XAI) is able to comprehend the deep logic of events, actions and rewards. Distinctive from other forms of AI, XAI can explain the reasons behind its decisions, helping to open up the heretofore “Black Box” of traditional neural networks.
Lifelong Learning AI imitates the human learning process. It extracts relevant information from various scenarios, transfers valuable information to other circumstances and ultimately perfects its knowledge base. This process enables Lifelong Learning AI to constantly improve its performance even when encountering new issues, all while also reducing the cost of training.
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