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Monthly Archives: May 2018
Adventures in Reinforcement Learning: Trials and Errors
Over the last few weeks, I’ve been working on learning some basic reinforcement learning models. All my code is available here (warning: basically totally undocumented and uses code from a few sources. It’s not the prettiest). The Environment The environment I … Continue reading →
Posted in Reinforcement Learning
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Tagged actor-critic, asynchronous, breakout, cartpole, deep-q, game playing, gym, openai, openai gym, options, q-learning, Reinforcement Learning, unity
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