Awesome
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Add entropy term to encourage exploration
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GAE
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Distributional
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Other environments
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Bigger -> SLower nets
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The exploration noise causes NAN gradients, thus NAN outputs
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Need experience replay because it's OBVIOUSLY forgetting stuff from the past.
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Use OpenAI examples
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Combine 2 nets into one -> Works -> Learns a bit slower I think
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Tuned hyper-parameters, specifically the size of roll-outs, number of updates and batch size
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Next step -> Try GAE estimation
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After -> Train in distributed setting with harder environments
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Compare to OpenAI baseline
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Incorporate into StarCraft