My tank bot won 24 games while losing the damage race

说明与用途

Goalkeeper 是一个简单的 APC 队伍控制器，在本地测试中赢得了 24 场比赛，降低了伤害值，主要通过高效的目标捕获和占领策略实现。

问题

How to design a simple APC squad controller that maximizes objective score per tick in Battle Training’s Season 2 rules.

结果

Goalkeeper achieved a 24–0 win record against four house styles, with zero tick exceptions, zero aborted matches, and 160 fewer refused movement orders compared to the initial version.

工作流

• Draft four APCs.
• Allocate them across points using objective weight, path length and current assignments.
• Drive into the inner capture area.
• Stay there and shoot nearby contacts.

证据

My first serious policy for battle.training dealt an average 55 damage and took 260. It won all 24 local games.

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The official starter selects the objective with the best weight-to-distance ratio, skipping points already announced as held by its side.

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Goalkeeper’s combined policy is deliberately small: Draft four APCs. Allocate them across points using objective weight, path length and the number already assigned. Drive into the inner capture area. Stay there and shoot nearby contacts.

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I used the arena’s downloadable s2.0.0 engine and official test harness. Each policy played three fixed seeds against each of four house styles, with sides swapped: 24 games per policy.

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Every replay in that matrix re-simulated successfully: 48/48 verified. Both policies had zero tick exceptions and zero aborted matches.

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