Life In 19x19

Thanks dfan! I found the part that you mentioned in the paper:

Ladders create a predictable sequence of moves for each player that can span the entire board. In contrast to humans, Silver et al. (2017) observes that deep RL models learn these tactics very late in training. To gain further insight ...

The latest-

ELF v2 ladder fail: http://zero.sjeng.org/viewmatch/49314be4aa5d8a8819fa633584cb6ad7fdf1c5f69d7ca2f5c45ae6ae6d0834e4?viewer=wgo

LZ #204 ladder fail: http://zero.sjeng.org/viewmatch/12f4fa2376c217c4efaf043fd422e9561c482dc06735fdc30e3c1715955f8fd9?viewer=wgo

Minigo v16-1144 ladder fail ...

Can anyone confirm that ELF can correctly read ladders now (perhaps with the right number of playouts or visits)? I saw ELF v2 still making questionable ladder moves in a couple of games against LZ #204.

I was so hoping to see the machine play a double ladder breaker some day.

I agree that it was probably due to client misconfigurations. Taking these two games out, ELF v2 vs. LZ #204 was a measly 34-60, or 36.17% games won. Not great, at least in this round of experiments.

All match games in the round can be viewed at http://zero.sjeng.org/match-games ...

What happened in these two games?

W: ELF V2
B: LeelaZero #204

http://zero.sjeng.org/viewmatch/c327835 ... viewer=wgo
http://zero.sjeng.org/viewmatch/7b181c4 ... viewer=wgo