Cell · cited by the thesis

gen09_deepseek-v4-flash_final2

DeepSeek-V4-Flash on gen09, 3 episodes. Cited by the thesis in:

Outcome
Wins (boss defeated, alive)3/3 [0.44, 1.00]
Final HP / exact optimum, mean over wins90%
Died0
Final HP, mean184
Seconds per model call5.3
Parse error rate0.0%
Settings
Floorgen09
ModelDeepSeek-V4-Flash (deepseek-v4-flash-0731, thinking)
Planningreactive
Promptengine-default-floor-basic
Temperature0
Lookahead depth3
Mechanical overrideson (logged per turn)
Engine settings (environment, 5)
THINKING_MAX_TOKENS=16384
CONVERSATION_HISTORY_TURNS=0
MOTA_ORDER_TWO_SIDED=1
MOTA_FIGHT_KEY_FLOOD=1
LLM_TIMEOUT=300
Episodesopen one to replay it turn by turn
#outcomefinal HPHP / optstepsmodel callsreplay
1won18490%267replay
2won18490%267replay
3won18490%267replay
Re-run this cell

In a checkout of mt-ai-lab with an API key set (the result goes to a new file rerun_<time>_gen09_deepseek-v4-flash_final2, never over the thesis result):

python scripts/run_catalog.py --codes GD9

Result file: results/reliability/gen09_deepseek-v4-flash_final2.json · updated 2026-09-30