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Very intuitive and a great tool to introduce someone to reinforcement learning. Excited to play the full version of this when released!

Feedback:

  1. Show volume settings during tutorial - I had to quickly skip the tutorial because the narrator was too loud and there wasn't a way to adjust volume in-game. 
  2. In training mode the bot will sometimes 'spit' out a ball into the air - I wasn't sure what this is supposed to indicate.
  3.  Include a way to reset a bot's brain to forget all prior training. Also, as a suggestion, maybe the best performing brain (maximum 'love' / minimum 'fear') could be saved so you can revert to it. Right now the last 10 brains are saved but it'd be nice if a brain could be protected from being overwritten - something I've seen in other reinforcement learning games like boxcar2d.

Bugs:

  1. The 'reset world' button stopped working after the first session - after re-opening the game, clicking it doesn't do anything and the bots that died don't respawn. This persists despite restarting the game. 
  2. The 'raise' and 'lower' tools in training mode can be brought into the overworld by having them selected in training mode and then clicking 'return to overworld'.
  3. I have repeatedly encountered a bug where when I click on the overworld it teleports a bot/item to where my cursor is. I believe this issue is related to #2 (maybe I had a bot/item selected in training and it carried over) but I can't reproduce it consistently. 

Whoa! thank you for the feedback.

Some responses:

Feedback:
1) Great point! I was once also jumpscared by my colleague's voice. There is a narration button that disables the voice over. Volume controls may come in the final version.
2) That's a new brain! I'll let our artist know that it looks like spitting. 
3) I love that idea! We were looking to do something like that, but we were trying to balance complexity and usability. We'll think about it for the next version.

Bugs:
1,2, and 3 seem to be the same issue! (Shakes fist at state machines) thank you so much for capturing it. We'll try to get a new verision out with the fix asap :)

Conclusion:

Thank you so much for playing this game!!! And thank you for the feedback! We're so happy that you liked it. :)