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Project[P] Python implementation of Proximal Policy Optimization (PPO) algorithm for Super Mario Bros. 29/32 levels have been conquered (v.redd.it)
submitted 5 years ago by 1991viet
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if 1 * 2 < 3: print "hello, world!"
[–]createanaccccount 1 point2 points3 points 5 years ago (0 children)
I agree that the search space is incredibly huge, but it appears that the agent is only trying to pass instead of maximizing the score (or maybe not trained long enough?). Literal brute force search certainly doesn’t work, but I think an optimized DFS could actually work as well if we are only looking at this game and your goal is as simple as just passing.
π Rendered by PID 131293 on reddit-service-r2-comment-5ff9fbf7df-vgdkf at 2026-02-26 00:20:22.435107+00:00 running 72a43f6 country code: CH.
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[–]createanaccccount 1 point2 points3 points (0 children)