Christian11
Member
AI agents use decision-making algorithms such as reinforcement learning, rule-based systems, and heuristic approaches. Reinforcement learning, where agents learn optimal behaviors by receiving rewards or penalties for their actions, is particularly effective in dynamic environments. Markov Decision Processes (MDPs) are also widely used for decision modeling. Additionally, supervised and unsupervised machine learning models can be incorporated to enable predictive decision-making.
SOURCE: https://www.inoru.com/ai-agent-development-company
SOURCE: https://www.inoru.com/ai-agent-development-company