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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.

Join us for the next CSAIL Hot Topics in Computing with Stephen Wolfram: Making the World Computable: from Foundations to Technology (for Humans and AIs)

Step Inside the Lab

The CSAIL Alliances Annual Meeting is our signature three-day event exclusive to CSAIL Alliances members.* This is your opportunity to engage with thought leaders crafting the next wave of AI and computer science and build the relationships that will drive your organization forward.