Active Inference Theory
Tim and Lance discuss active inference theory, exploring how agents learn efficiently through expected free energy and utility. They compare human learning trajectories with AI agents, showcasing the potential of active inference in replicating human-like behavior in complex environments.In this clip
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Machine Learning Street Talk (MLST)
MULTI AGENT LEARNING - LANCELOT DA COSTA
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