CONTROLLING AGENTS INTERACTING WITH AN ENVIRONMENT USING BRAIN EMULATION NEURAL NETWORKS

    公开(公告)号:US20220414419A1

    公开(公告)日:2022-12-29

    申请号:US17362446

    申请日:2021-06-29

    Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus for selecting actions to be performed by an agent interacting with an environment, the method including, at each of multiple time steps, receiving an observation characterizing a current state of the environment at the time step, providing an input including the observation to an action selection neural network having a brain emulation sub-network with an architecture that is based on synaptic connectivity between biological neurons in a brain of a biological organism, processing the input including the observation characterizing the current state of the environment at the time step using the action selection neural network having the brain emulation sub-network to generate an action selection output, and selecting an action to be performed by the agent at the time step based on the action selection output.

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