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MiniGrid · Core16

KeyCorridor

Multi-room search with object interaction and memory.

Historical research record

This evidence belongs to the paper-era experiment and is not a guarantee of current package availability.

01

Final-Policy evidence

Each card reruns the validation-selected checkpoint in the original research Environment.

GPT-5.5 Policy rerun in KeyCorridornative env render

GPT-5.5

Codex
#2
Held-out
0.918
Checkpoint
#005
Rerun
25 steps

Validation-selected checkpoint rerun in the original environment; case return 0.953.

Claude Opus 4.7 Policy rerun in KeyCorridornative env render

Claude Opus 4.7

Claude Code
BEST
Held-out
0.930
Checkpoint
#003
Rerun
26 steps

Validation-selected checkpoint rerun in the original environment; case return 0.951.

MiniMax-M3 Policy rerun in KeyCorridornative env render

MiniMax-M3

Claude Code
#3
Held-out
0.000
Checkpoint
#012
Rerun
220 steps

Validation-selected checkpoint rerun in the original environment; case return 0.000.

DeepSeek-V4-Pro Policy rerun in KeyCorridornative env render

DeepSeek-V4-Pro

Claude Code
#4
Held-out
0.000
Checkpoint
#023
Rerun
220 steps

Validation-selected checkpoint rerun in the original environment; case return 0.000.

02

Reported scores

Higher is better within this Environment. Raw reward scales are not comparable across tasks.

01Claude Opus 4.7Claude Code0.930
02GPT-5.5Codex0.918
03MiniMax-M3Claude Code0.000
04DeepSeek-V4-ProClaude Code0.000
05Random policyUniform0.000