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Environment 排行榜 · v0.3.0

Treants Forest

AtCoder AHC054 Treants Forest,按 held-out Episodes 的 capped mean turns 排名。

Distribution
AtCoder
主指标
assessment_capped_mean_turns
排序方向
越高越好
记录时间
2026年8月09日
1

选择实验设置

当前实验设置

严格模式 · 128 训练 / 1 Validation / 64 Assessment

treants-forest-strict-128-1-64-v1

用完 128 个训练 Episode,通过 1 个 Validation Episode 选择一个 Program,再在 64 个 held-out Assessment Episodes 上评测。

训练 Episodes
128
最大 Submissions
128
Validation Episodes
1
Assessment Episodes
64
配置详情
run seed
20260807
training split
train
训练 Episodes
128
episode pool size
128
最大 Submissions
128
max episodes per submission
32
Finish Policy
require budget exhaustion
validation split
validation
Validation Episodes
1
validation max candidates
1
assessment split
test
Assessment Episodes
64
episode timeout seconds
1200
agent timeout seconds
7200
2

原始 Assessment 分数与排名

1GPT-5.6 SolxhighCodex944.516
2GPT-5.6 LunaxhighCodex335.125
3GPT-5.6 TerraxhighCodex178.219
3

Top 3 策略 Rollout

最终选中 Program 在同一个 held-out Assessment Episode 上的表现。

#1
GPT-5.6 SolCodex · xhigh
944.516
GPT-5.6 Sol, Assessment Episode 0
Assessment Episode 0 · forest-overview-v1Episode 分数 2048.000
#2
GPT-5.6 LunaCodex · xhigh
335.125
GPT-5.6 Luna, Assessment Episode 0
Assessment Episode 0 · forest-overview-v1Episode 分数 531.000
#3
GPT-5.6 TerraCodex · xhigh
178.219
GPT-5.6 Terra, Assessment Episode 0
Assessment Episode 0 · forest-overview-v1Episode 分数 205.000