Overview on Reinforcement Learning for Robotics
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چکیده
By policy, we mean a decision maker (Agent) that decide on an action based on some parameterized rules given an input observation of environment (State). The policy can be a set of weight that linearly combine the features in a state or different structured Neural Network. The environment in Reinforcement Learning context provide the agent a new state and reward immediately after the agent takes a specific action.
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تاریخ انتشار 2017