diff options
| author | tslil <tslil@posteo.de> | 2021-01-13 23:41:32 -0500 |
|---|---|---|
| committer | tslil <tslil@posteo.de> | 2026-08-28 19:37:41 +0100 |
| commit | cf7d665598e34e32d258775b583968e758c8f2fb (patch) | |
| tree | 6bfda86535ffa051afd8ccfd70f1d4488701dfdf /src/pptdb.c | |
| parent | 2ef0078ba2afd99c4fc2673497f3d3a39119cf5d (diff) | |
Fixed minimax (!), fixed bugs in tak.c
With minimax of depth 1 the evaluation function seems alright with the
current method of training and generating weights
Diffstat (limited to 'src/pptdb.c')
| -rw-r--r-- | src/pptdb.c | 14 |
1 files changed, 5 insertions, 9 deletions
diff --git a/src/pptdb.c b/src/pptdb.c index a67be1d..dbadfdf 100644 --- a/src/pptdb.c +++ b/src/pptdb.c @@ -4,10 +4,10 @@ #include <tak.h> -int generate; +float max_flats; uint64_t heights[16]; -float max_flats, outcome_black; FILE *training_fh = NULL; +int generate, outcome_black; const int max_depth = 8; @@ -107,11 +107,7 @@ parse_line(const char *pt, const ssize_t read) { // Generate training data, not too early in the game if (generate && ply + 5 > total_plies) { write_input(); - if (ply >= total_plies) { - if (outcome_black > 0.5) outcome_black = 1.0; - else outcome_black = 0.0; - } - fprintf(training_fh,"%.2f\n", outcome_black); + fprintf(training_fh,"%df\n", outcome_black); } // Parse next action while (idx<read && pt[idx++]!=','); @@ -164,8 +160,8 @@ main(int argc, char **argv) { // Reset everything reset_state(size); // Store the outcome of this game. Black win = 1 - if (line[read-4] == '0') outcome_black = 0.99; - else outcome_black = 0.01; + if (line[read-4] == '0') outcome_black = 1; + else outcome_black = 0; // Parse the line r = parse_line(line,read-4); // Adjust counts if we're not generating training data |