| Active : 6 Machines / 88 Threads / 122.72 MNPS | ||||||
|---|---|---|---|---|---|---|
| Priority 0 | ||||||
| Mhoupp | Stash | master | diff | 40.0+0.40 | Elo: 32.20 +- 2.57 (95%) [N=20000] Games: 16460 W: 2980 L: 1459 D: 12021 Ptnml(0-2): 45, 948, 4871, 2173, 193 | Progression test |
| Priority -2 | ||||||
| Mhoupp | Stash | thread_voting | diff | 5.0+0.05 | LLR: -1.22 (-2.94, 2.94) [0.00, 5.00] Games: 25390 W: 6038 L: 5984 D: 13368 Ptnml(0-2): 189, 3056, 6167, 3078, 205 | Add thread voting to search (Note: impl derived from Stormphrax which is itself ported from Stockfish) |
| Finished | ||||||
| Kieren | Halogen | spsa_tune_21 | diff | 40.0+0.40 | Tuning 122 Parameters 1888/25000 Iterations 30220/400000 Games Played | |
| Eren | Stash | depth-8-fp | diff | 40.0+0.40 | LLR: -2.68 (-2.94, 2.94) [0.00, 5.00] Games: 10618 W: 2552 L: 2611 D: 5455 Ptnml(0-2): 71, 1291, 2640, 1240, 67 | [SPEC] LTC |
| Eren | Stash | depth-8-fp | diff | 8.0+0.08 | LLR: -2.97 (-2.94, 2.94) [0.00, 5.00] Games: 15034 W: 3832 L: 3890 D: 7312 Ptnml(0-2): 215, 1804, 3513, 1794, 191 | more deeper quiet futility pruning |
| Eren | Stash | improving-probcut | diff | 8.0+0.08 | LLR: -3.58 (-2.94, 2.94) [0.00, 5.00] Games: 16088 W: 4071 L: 4150 D: 7867 Ptnml(0-2): 223, 2005, 3658, 1944, 214 | apply improving margin to probcut |
| Eren | Stash | depth-5-se | diff | 8.0+0.08 | LLR: -3.00 (-2.94, 2.94) [0.00, 5.00] Games: 6410 W: 1561 L: 1655 D: 3194 Ptnml(0-2): 84, 810, 1490, 758, 63 | shallower SE attempts |
| Eren | Stash | better-razoring | diff | 8.0+0.08 | LLR: 3.05 (-2.94, 2.94) [0.00, 5.00] Games: 13690 W: 3659 L: 3477 D: 6554 Ptnml(0-2): 161, 1592, 3188, 1712, 192 | an idea from Halogengine |
| Eren | Stash | better-razoring | diff | 40.0+0.40 | LLR: 2.97 (-2.94, 2.94) [0.00, 5.00] Games: 34204 W: 8355 L: 8112 D: 17737 Ptnml(0-2): 212, 3966, 8504, 4207, 213 | an idea from Halogengine |
| Mhoupp | Stash | chp_lmr_depth | diff | 8.0+0.08 | LLR: -2.97 (-2.94, 2.94) [0.00, 5.00] Games: 20852 W: 5155 L: 5188 D: 10509 Ptnml(0-2): 259, 2571, 4795, 2546, 255 | Use LMR depth for Continuation History Pruning |
| Mhoupp | Stash | lmr_cutnode_no_ttmove | diff | 40.0+0.40 | LLR: -2.96 (-2.94, 2.94) [0.00, 5.00] Games: 17832 W: 4154 L: 4195 D: 9483 Ptnml(0-2): 115, 2096, 4497, 2131, 77 | Increase LMR for expected cutnodes with no TT move |
| Mhoupp | Stash | lmr_cutnode_no_ttmove | diff | 8.0+0.08 | LLR: 3.15 (-2.94, 2.94) [0.00, 5.00] Games: 37742 W: 9551 L: 9263 D: 18928 Ptnml(0-2): 475, 4450, 8738, 4728, 480 | Increase LMR for expected cutnodes with no TT move |
| Rosent | Winter | net_end_p * | diff | 8.0+0.08 | LLR: -2.96 (-2.94, 2.94) [-5.00, 0.00] Games: 20464 W: 5192 L: 5430 D: 9842 Ptnml(0-2): 599, 2484, 4207, 2440, 502 | A much more reasonable middle ground. |
| Rosent | Winter | net_end_p * | diff | 8.0+0.08 | LLR: -2.98 (-2.94, 2.94) [-5.00, 0.00] Games: 1216 W: 243 L: 393 D: 580 Ptnml(0-2): 54, 189, 236, 111, 18 | Regression testing net training idea. |
| Mhoupp | Stash | node_timeman | diff | 40.0+0.40 | LLR: -3.00 (-2.94, 2.94) [0.00, 5.00] Games: 3628 W: 777 L: 871 D: 1980 Ptnml(0-2): 29, 436, 958, 382, 9 | Add node repartition scaling to time management |
| Rosent | Winter | net_end_p * | diff | 8.0+0.08 | LLR: 3.08 (-2.94, 2.94) [-5.00, 0.00] Games: 13636 W: 3293 L: 3219 D: 7124 Ptnml(0-2): 272, 1627, 2966, 1661, 292 | Non-regression sanity check. |
| Mhoupp | Stash | node_timeman | diff | 8.0+0.08 | LLR: -3.04 (-2.94, 2.94) [0.00, 5.00] Games: 8042 W: 1941 L: 2029 D: 4072 Ptnml(0-2): 81, 1028, 1906, 910, 96 | Add node repartition scaling to time management |
| Mhoupp | Stash | lmr_less_for_checks | diff | 40.0+0.40 | LLR: -2.95 (-2.94, 2.94) [0.00, 5.00] Games: 20020 W: 4691 L: 4723 D: 10606 Ptnml(0-2): 107, 2377, 5054, 2385, 87 | Decrease LMR if the move gives check |
| Rosent | Winter | net_end_p | diff | N=64000 | Elo: 7.25 +- 13.90 (95%) [N=1000] Games: 1006 W: 272 L: 251 D: 483 Ptnml(0-2): 19, 118, 213, 129, 24 | Sanity test of net training |
| Kieren | Halogen | r140 | diff | 40.0+0.40 | LLR: -3.00 (-2.94, 2.94) [0.00, 3.00] Games: 23402 W: 5751 L: 5874 D: 11777 Ptnml(0-2): 58, 2740, 6228, 2617, 58 | |
| Kieren | Halogen | r140 | diff | 8.0+0.08 | LLR: -2.96 (-2.94, 2.94) [0.00, 3.00] Games: 21304 W: 5467 L: 5604 D: 10233 Ptnml(0-2): 179, 2559, 5287, 2474, 153 | |
| Kieren | Halogen | r141 | diff | 40.0+0.40 | LLR: -2.96 (-2.94, 2.94) [0.00, 3.00] Games: 16686 W: 4066 L: 4202 D: 8418 Ptnml(0-2): 43, 2006, 4373, 1886, 35 | |
| Vshche | Igel | ttfix | diff | 10.0+0.10 | LLR: -1.04 (-2.94, 2.94) [0.00, 3.00] Games: 8730 W: 2238 L: 2284 D: 4208 Ptnml(0-2): 68, 1081, 2115, 1031, 70 | 3.6.14: improve tt store algo |
| Rosent | Winter | net_502_24x64 * | diff | 8.0+0.08 | LLR: -2.96 (-2.94, 2.94) [0.00, 5.00] Games: 6688 W: 1605 L: 1709 D: 3374 Ptnml(0-2): 168, 856, 1382, 788, 150 | Warmup Stable Decay seems to fit the training pipeline better than the previous linear scheduler based on metrics. Does this hold in self play? |
| Kieren | Halogen | r141 | diff | 8.0+0.08 | LLR: -2.96 (-2.94, 2.94) [0.00, 3.00] Games: 17808 W: 4497 L: 4643 D: 8668 Ptnml(0-2): 153, 2180, 4360, 2082, 129 | |
| Kieren | Halogen | r141 | diff | N=40000 | Elo: 1.53 +- 2.08 (95%) [N=40000] Games: 40038 W: 11527 L: 11351 D: 17160 Ptnml(0-2): 706, 4651, 9046, 4993, 623 | |
| Vshche | Igel | ttfix | diff | 60.0+0.60 | LLR: 0.00 (-2.94, 2.94) [0.00, 3.00] Games: 0 W: 0 L: 0 D: 0 Ptnml(0-2): 0, 0, 0, 0, 0 | 3.6.14: improve tt store algo |