Vic RL

Vic RL refers to a reinforcement learning approach developed by researchers at Victoria University (Vic). Reinforcement learning is a method where an AI learns to make decisions by receiving feedback—rewards or penalties—based on its actions. Vic RL focuses on creating algorithms that improve decision-making in complex, dynamic environments by efficiently learning from interactions. It aims to optimize performance in tasks such as robotics, gaming, or autonomous systems, resulting in more adaptable and intelligent behavior. Overall, Vic RL enhances how machines learn to solve problems through experience, leading to smarter, more reliable AI applications.