Leela Odds Leaderboard

Updated to use new binary by Borg that implements the idea of increasing max nodes when the position is no longer objectively hopeless. Some reductions were made to the basic max nodes numbers to compensate.

Updated to allow longer time controls, up to 45'+30" in general and up to 150'+60" for LKO and LRO. Also temperature settings were revised for all bots to reduce frequency of inferior lines while increasing maximum variety, should be a small elo gain.

Updated to use a new binary by @Menkib which implements Lucario6607's suggestion that Syzygy drawscores only be used when Leela's eval is worse than the drawscore. This in turn makes it safe enough to use Syzygy for draws even in 6 man (or 7 in the future) positions, as it will only seek them when it deems it more likely to lose than to win otherwise. Testing at Queen odds showed a gain of 27 elo over the previously best Syzygy implementation after about a thousand games for each version against three different human-like bots, on top of the 35 tested elo gain over no Syzygy. So the total tested gain for Syzygy is now 62 elo at queen odds.

Updated late Sept. 16 to use Syzygy for Leela only with a new binary by @Menkib. It considers only won positions for 6 man, both won and drawn ones for 3-4-5 man. I am re-testing vs. bots that need at least 10 nodes to be competitive, to avoid excessive repetition and stalemate draws. Early results confirm gains found in previous tests, tomorrow I'll report final results for queen odds. Gains are likely to be smaller for smaller odds, since the bot looks at more nodes and assumes better opponent play so is less likely to need TB correction, but there should still be a benefit.

Updated based on testing to set the value of TempVisitOffset to minus 6% of the node limit for that handicap.

New Lucario binary already running in LQO, together with small compensating reductions in the Search Contempt Limit. Testing showed 40 to 50 elo point gains against the human-based bots. Also a change to Policy temperature was reverted so that all use the default now.

Using new search-contempt binary by @amjsh, which boosts performance against humans by ~200 elo. This leaderboard shows all the games from this point on.

Updating the Bot to use specially trained queen-odds net (lqo_v2) by @Noah13.

Updated to use new binary by Borg that implements the idea of increasing max nodes when the position is no longer objectively hopeless. Some reductions were made to the basic max nodes numbers to compensate.

Updated to allow longer time controls, up to 45'+30" in general and up to 150'+60" for LKO and LRO. Also temperature settings were revised for all bots to reduce frequency of inferior lines while increasing maximum variety, should be a small elo gain.

Updated to use a new binary by @Menkib which implements Lucario6607's suggestion that Syzygy drawscores only be used when Leela's eval is worse than the drawscore. This in turn makes it safe enough to use Syzygy for draws even in 6 man (or 7 in the future) positions, as it will only seek them when it deems it more likely to lose than to win otherwise. Testing at Queen odds showed a gain of 27 elo over the previously best Syzygy implementation after about a thousand games for each version against three different human-like bots, on top of the 35 tested elo gain over no Syzygy. So the total tested gain for Syzygy is now 62 elo at queen odds.

Updated late Sept. 16 to use Syzygy for Leela only with a new binary by @Menkib. It considers only won positions for 6 man, both won and drawn ones for 3-4-5 man. I am re-testing vs. bots that need at least 10 nodes to be competitive, to avoid excessive repetition and stalemate draws. Early results confirm gains found in previous tests, tomorrow I'll report final results for queen odds. Gains are likely to be smaller for smaller odds, since the bot looks at more nodes and assumes better opponent play so is less likely to need TB correction, but there should still be a benefit.

Updated with new search parameter values which showed a ten elo gain in testing.

Updated based on testing to set the value of TempVisitOffset to minus 6% of the node limit for that handicap.

New binary by Lucario6607 as is already in LeelaQueenOdds, with a gradual transition between the two search methods using a logarithmic formula. The parameter values chosen for LRO yielded a similar 20+ elo gain in testing to that observed with LQO.

New Lucario binary already running in LQO, together with small compensating reductions in the Search Contempt Limit. Testing showed 40 to 50 elo point gains against the human-based bots. Also a change to Policy temperature was reverted so that all use the default now.

Using new search-contempt binary by @amjsh, which boosts performance against humans by ~200 elo. This leaderboard shows all the games from this point on.

Update with new special rook odds net, node limit of 8000.

Updated to use new binary by Borg that implements the idea of increasing max nodes when the position is no longer objectively hopeless. Some reductions were made to the basic max nodes numbers to compensate.

Updated to allow longer time controls, up to 45'+30" in general and up to 150'+60" for LKO and LRO. Also temperature settings were revised for all bots to reduce frequency of inferior lines while increasing maximum variety, should be a small elo gain.

Updated to use a new binary by @Menkib which implements Lucario6607's suggestion that Syzygy drawscores only be used when Leela's eval is worse than the drawscore. This in turn makes it safe enough to use Syzygy for draws even in 6 man (or 7 in the future) positions, as it will only seek them when it deems it more likely to lose than to win otherwise. Testing at Queen odds showed a gain of 27 elo over the previously best Syzygy implementation after about a thousand games for each version against three different human-like bots, on top of the 35 tested elo gain over no Syzygy. So the total tested gain for Syzygy is now 62 elo at queen odds.

Updated late Sept. 16 to use Syzygy for Leela only with a new binary by @Menkib. It considers only won positions for 6 man, both won and drawn ones for 3-4-5 man. I am re-testing vs. bots that need at least 10 nodes to be competitive, to avoid excessive repetition and stalemate draws. Early results confirm gains found in previous tests, tomorrow I'll report final results for queen odds. Gains are likely to be smaller for smaller odds, since the bot looks at more nodes and assumes better opponent play so is less likely to need TB correction, but there should still be a benefit.

Updated to use the same new binary by Lucario6607 as is already in LeelaQueenOdds and LeelaRookOdds, with a gradual transition between the two search methods using a logarithmic formula. The parameter values chosen for LKO yielded a 20 elo gain in testing, similar to that observed with LQO.

Updated based on testing to set the value of TempVisitOffset to minus 6% of the node limit for that handicap.

Reduction of the Search Contempt Limit from 520 to 500 based on bot testing.

New Lucario binary already running in LQO, together with small compensating reductions in the Search Contempt Limit. Testing showed 40 to 50 elo point gains against the human-based bots. Also a change to Policy temperature was reverted so that all use the default now.

Using new search-contempt binary by @amjsh, which boosts performance against humans by ~200 elo. This leaderboard shows all the games from this point on.

Update the bot to the latest knight-odds net lko_v3a.