Genius Agents, developed by VERSES, exhibit superior performance in Atari 10k challenge by achieving impressive results using 90% less data and compute than traditional deep reinforcement learning models. Demonstrating a new Bayesian-based approach, Genius Agents matched or exceeded current top models' performance, achieving perfect scores in Pong and showcasing capabilities across diverse games. The method's efficiency and adaptability illustrate the potential to revolutionize AI, offering a framework that is more transparent and sustainable, potentially advancing the development of machine intelligence. This marks a significant step towards creating intelligent systems capable of learning in dynamic environments.