This is the first post that’s part of the series for teaching an agent to trade. I will evaluate different reinforcement learning (RL) approaches and share some findings along the way. The goal of the series is to learn RL by applying it on an actual problem that I can...
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The A3C method in Reinforcement Learning (RL) combines both a critic’s value function (how good a state is) and an actor’s policy (a set of action probability for a given state). I promise this explanation doesn’t not contain greek letters or calculus. It only contains English alphabets and subtraction in...
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