Comments (2)
but to extrapolate a laptop in a non-VNC environment vs 2 servers with 16 cores each in a VNC environment getting a score of 7 over 32 times as long doesn't seem to add up
I think you can't extrapolate like that, VNC environment has much greater lag, which has a big impact.
From README:
Generally speaking, environments that are most affected by lag are games that place a lot of emphasis on reaction time. For example, this agent is able to solve VNC Pong (gym-core.PongDeterministic-v3) in under 2 hours when both the agent and the environment are co-located on the cloud, but this agent had difficulty solving VNC Pong when the environment was on the cloud while the agent was not.
Perhaps it's just not possible to solve Pong with this implementation and lag big enough.
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Update. 100 million steps made it to about +7. That is 8 workers running for 2.5 days (64.5 hours) While the readme claims: "If you run this experiment on a high-end MacBook Pro, the above job will take just under 2 hours to solve Pong." Now I understand those numbers are for non-VNC version and using a different core count, but to extrapolate a laptop in a non-VNC environment vs 2 servers with 16 cores each in a VNC environment getting a score of 7 over 32 times as long doesn't seem to add up.
Again, any assistance in finding what I may be doing wrong, or if this repo is simply out of date, would be much appreciated.
from universe-starter-agent.
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