DotaClient is a reinforcement learning system to train RL agents to play Dota 2 through self-play.
This is built upon the DotaService project, that exposes the game of Dota2 as a (grpc) service for synchronous play.
cd ks-app
ks show default # Shows the full manifest
ks param list # Lists all parameters
ks apply default # Launches everything you need
Note: A typical job has 40 agents per optimizer. One optimizer does around 1000 steps/s.