I guess I don't get it... What does this game have that SC2/Dota doesn't?
As far as I can tell, the main goal for reinforcement learning is to make it so that it doesn't take 10k learning sessions to learn what a human can learn in a single session, and to make self-training without guiding scenarios feasible.
"real bayesians" vs "frequentists united" at 0:33 in the video :D
I bet that ai’s will find a lot of physics bugs to exploit early on.
Perhaps this will be used in live sports in the future. Giving real time feedback to players for optimum positioning. Would be a cool test but I still prefer to watch sports played the ‘traditional’ way.
Wonder if they use the same tech to predict the outcome of football matches. I've seen them show it on the Premier League games.
Do all the players have the same skill set?
Interesting to see how things like faster players change optimal play
Any chance for Google Research Rugby?
Oh, this is soccer. Madden NFL would be more interesting.
> The Football Engine is written in highly optimized C++ code, allowing it to be run on off-the-shelf machines, both with GPU and without GPU-based rendering enabled. This allows it to reach a performance of approximately 25 million steps per day on a single hexa-core machine.
Missed opportunity to use Rust for memory safety.
If I read correctly, the agent only controls one player at a time. On offense it controls the player with the ball, and on defense it controls probably the player closest to the ball. The other players are controlled by the built-in AI. Controlling a single agent kind of takes away from the appeal of deep-RL: that entire teams can learn to coordinate in novel and optimal ways.