The "sparse blue graph" is just the binary win loss outcome - learns ok-ish but slow The "dense orange graph" - uses more dense rewards - kills, health - and l

The "sparse blue graph" is just the binary win loss outcome - learns ok-ish but slow The "dense orange graph" - uses more dense rewards - kills, health - and learns better. I referred to this as a "sparse reward" - since it is still a fairly lean and sparse function. But this is just my opinion. Also note this is for the older 1v1 agent. The current reward function is even more detailed, and they blend and anneal the 5 agent score, so i dunno... https://gist.github.com/dfarhi/66ec9d760ae0c49a5c492c9fae93984a https://gist.github.com/dfarhi/66ec9d760ae0c49a5c492c9fae939...