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Ray and Maria Stata Center

As AI has become a huge industry, to an extent it has lost its way. What is needed to get us back on track to true intelligence? Most of all we need agents that learn continually from their first-person experience. We also need world models and planning. We need knowledge that is high-level and learnable. We need to meta-learn how to generalize. The Oak architecture is an approach based on reinforcement learning that seeks to satisfy all these needs and which has three special features. First, all of its components learn continually.