Abstract: Reinforcement Learning (RL) has been shown to be effective in many scenarios. However, it typically requires the exploration of a sufficiently large number of state-action pairs, some of ...
Abstract: Forecasting the winning matches of professional tennis players has a wide range of practical applications. We introduced an innovative approach to quantify and combine strategic and ...
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