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Deep Reinforcement Learning with Vector Quantized Encoding
Human decision-making often involves combining similar states into categories and reasoning at the level of the categories rather than the actual states.
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time
We contend that for an artificially intelligent agent to effectively model human teammates, i. e., demonstrate computational theory of mind (ToM), it should do the same.
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