tower_deepseek-v4-flash_final5_effnet
DeepSeek-V4-Flash on the tower (MT0→MT23w), 1 run. Not cited by the thesis (development or earlier run).
| Highest floor reached, per run | MT8 |
| Died | 0 |
| Final HP, mean | 366 |
| Seconds per model call | 10.1 |
| Parse error rate | 0.0% |
| Floor | Tower MT0→MT23w |
| Model | DeepSeek-V4-Flash (deepseek-v4-flash-0731, thinking) |
| Planning | reactive |
| Prompt | engine-default-tower-basic |
| Temperature | 0 |
| Lookahead depth | 2 |
| Mechanical overrides | on (logged per turn) |
Engine settings (environment, 9)
THINKING_MAX_TOKENS=8192 CONVERSATION_HISTORY_TURNS=0 MOTA_ORDER_TWO_SIDED=1 MOTA_FIGHT_KEY_FLOOD=1 MOTA_SHOP_ROUTE=1 MOTA_REMOTE_ACTIONS=1 MOTA_WAY_UP=1 MOTA_EFFCOST_NET=1 LLM_TIMEOUT=300
| # | outcome | final HP | HP / opt | turns | model calls | replay |
|---|---|---|---|---|---|---|
| 1 | MT8 | 366 | – | 220 | 101 | replay |
In a checkout of mt-ai-lab with an API key set (the result goes to a new file rerun_<time>_tower_deepseek-v4-flash_final5_effnet, never over the thesis result):
python scripts/run_catalog.py --codes E1T
Result file: results/reliability/tower_deepseek-v4-flash_final5_effnet.json · updated 2026-10-01