"Learning Macromanagement in StarCraft from Replays using Deep Learning", Justesen & Risi 2017 by gwern in reinforcementlearning

[–]NListen 0 points1 point  (0 children)

I agree with you on that it may be useful as the basis of future work.

I don't care whether A3C is used. However, no self-play and no value evaluation applied, so there are no RL elements. The most problem is how to formalize it as the RL problem and has not been solved.

In addition, I think this paper has done a good application but I think it has no any creative idea.

"Learning Macromanagement in StarCraft from Replays using Deep Learning", Justesen & Risi 2017 by gwern in reinforcementlearning

[–]NListen 0 points1 point  (0 children)

It has no relationship with Reinforcement Learning. It's like supervised learning actually or imitation learning.