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VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images
Our method is based on the Semantic Pointer Architecture (SPA) to encode objects in a hyperdimensional vector space.
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
We show that intentions of human players, i. e. the precursor of goal-oriented decisions, can be robustly predicted from eye gaze even for the long-horizon sparse rewards task of Montezuma's Revenge - one of the most challenging RL tasks in the Atari2600 game suite.
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