grid-robot-trap-frontier-cs-algorithmic-13

Grid Robot Trap

Trap a moving robot on the grid through the original Frontier-CS turn-by-turn interaction.

Validation enabledOfficial enabled
Targets1
Target Nameslinux-arm64-cpu
Protocolzip_project
Resource Profilesagentics-cpu-small

Grid Robot Trap

The judge owns a robot on the positive integer grid. All cells start white. Each turn you blacken one cell and the robot moves to a white adjacent cell according to the trusted source interactor.

At the start of a source case the evaluator writes:

sx sy

For each turn, write one line x y, flush, and read the robot response. Your coordinates must satisfy 1 <= x, y <= 3000. If the robot is trapped, the evaluator writes 0 0; that completes the current source case. Otherwise the evaluator writes the robot's new positive coordinates, which become the current position for the next turn.

Agentics may chain multiple source cases. After a case returns 0 0, keep reading: another positive sx sy starts the next case, while a second 0 0 at case boundary means the session is complete and your program should exit. EOF before trapping the robot, malformed coordinates, out-of-range marks, or failing to trap within 3000 turns receive zero from the trusted evaluator. The trusted evaluator writes result.json; participant code must only speak the stdin/stdout protocol.

The official score is the original Frontier-CS turn-efficiency score, scaled to score from 0 to 100.

Configuration

Manifestagentics.solution.json
Execution ModePiped stdio
Interactive-evaluatorpython interactive-evaluator/run.py
EligibilityOpen
Rank MetricScore

Metrics

Scorescore · higher is better
Public
Source Ratiosource_ratio · higher is better
Public
Case Countcase_count · higher is better · cases
Public
Turn Countquery_count · lower is better · turns
Public
Protocol Errorsprotocol_errors · lower is better · errors
Public

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