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Almost there https://code.wildfiregames.com/D2597

@jonbaer - Currently there isn't any way to inject code into the builtin AI logic. I was mostly focused on making it possible to train AI via an OpenAI Gym interface (hence adding the building blocks to do so) but being able to use it to hybridize one of the builtin AIs would be cool. That said, it isn't clear to me exactly how that would work but I am open to ideas! I would really like to get this merged into the master copy but, as @Stan` said, it is currently waiting on a reviewer. I have been excited about the potential of both machine learning for 0 AD and 0 AD for machine learning and was hoping that I could gauge/raise interest with this discussion (and potentially find a reviewer in the process ). Yeah, the issue is specifically with the programmatic creation of the scenario config (source/tools/client/python/zero_ad/scenario_config.py). I am planning on removing it and simply passing the scenario config (reading it from a file rather than creating it programmatically) so that should hopefully minimize the amount of maintenance after the merge

@Genava55 Do you have any more suggestions for https://code.wildfiregames.com/D2641

The development of the thread just made me an auto-queue supporter. To think that I believed that feature is just a trivial thing to argue for. To think that currently the strongest argument against AQ is "It's boring because all you do is watch buildings spew out units towards the battlezone."

I was responding to the opinion from your link. It pisses me off to see people complaining while buying the game. I really disliked the direction took in the Total War series because of restrictive modding and lies from the developers about it. I choose to boycott the series since Empire, I never gave a cent to them since. From the previous HD you mean? Yeah I know they did something excessive with the language filter, they will probably change that.

I guess the first thing to try is to remove files from the public mod and see if it works.

There is not much you can do :/

Se alejo mucho del sobrevalorado Age 2 y por eso a muchos no les gusto(igual me gustan los 3 juegos principales y el AOM :v)

Yeah, I would guess it is related to an issue with the tensorflow version. You can find the results in `~/ray_results/default/PPO_CavalryVsInfantry_SOME_UUID/result.json`. I sometimes plot the results as follows (after adding the attached python script to my PATH and installing jq) cat result.json | jq '.episode_reward_mean' | scatterplot -t 'Training Reward' -x 'Training Iteration' -y 'Episode Reward Mean' -c scatterplot

Fairies of Tarm incoming, probably the most non-standard faction in the game to date, with everything from player shifting Seasons to self-building-buildings and no workers. Check out the details below:

@Itms @Exodarion