Comments (3)
You're right, I should add an "lcb" field as well. I implemented lz-analyze and kata-analyze originally before either KataGo or Leela Zero used LCB as of its latest release, way back several months ago. I'll add it shortly, thanks!
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The utility value is the value that KataGo actually cares about for performing the MCTS, rather than the winrate. Utility is a weighted combination of both winrate and score - so KataGo will play to some degree to maximize score in addition to simply trying to win.
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Implemented! :)
57ebc39
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Related Issues (20)
- error CL_OUT_OF_RESOURCES when launching ./katago benchmark
- Can't compile for OpenCL 1.2 HOT 3
- FATAL ERROR: Failed test assert: buf.result->policyProbs[buf.result->getPos(Location::ofString("E16",board),board)] >= 0.95 HOT 2
- ERROR: task loop loop thread failed: Got nonfinite for policy sum HOT 11
- Scoring bug HOT 2
- Unable to compile - error: invalid conversion from ‘float**’ to ‘void**’
- Pytorch load model from tensorflow .ckpt and play: Mismatch and Performance Issue with b18c384nbt model_pytorch and Checkpoint File HOT 2
- How is distributed training implemented in KataGo? HOT 1
- A question in the "match" module HOT 4
- Loading the latest 28b engine failed with 8 4090 cards HOT 2
- A question about moves not being buffed by LCB HOT 2
- match: Wrong useNHWC/FP16 settings are given to bot if there are bot dedups HOT 2
- difference in winrate and scorelead between MoveInfos and RootInfo HOT 1
- Does the latest katago networks no longer work with Katrain, Lizzie, nor any other GUI? HOT 3
- Winrate Help HOT 2
- Uncaught exception when genconfig HOT 3
- 举报OmnipotentEntity在discord群任意踢人 HOT 22
- A question about search initialization for dynamic score utility HOT 4
- C2664“cudaError_t cudaMalloc(void **,size_t)”: 无法将参数 1 从“float **”转换为“void ** KataGo\cpp\neuralnet\cudabackend.cpp HOT 1
- Most beautiful Go games using AI to make and find? HOT 1
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