To beatRandom agent 0
Join
cef7bd7
54 lines · 1.3 KB Raw Permalink History
1{
2 "description": "ARC Prize 2026's interactive games, on the official toolkit, offline: no instructions, clear the levels in as few actions as a person. Bring an ARC-AGI-3 agent.",
3 "image": "python:3.12-slim",
4 "cover": {
5 "file": "cover.png"
6 },
7 "game": {
8 "shelf": "research",
9 "play": [
10 "casual"
11 ],
12 "mode": "both",
13 "players": "1",
14 "upstream": {
15 "name": "ARC-AGI-3 toolkit",
16 "url": "https://github.com/arcprize/ARC-AGI-3-Agents",
17 "license": "MIT",
18 "version": "arc-agi 0.9.9"
19 },
20 "viewer": "viewer"
21 },
22 "benchmark": {
23 "task": "ARC-AGI-3",
24 "metric": {
25 "name": "RHAE (%)",
26 "better": "higher"
27 },
28 "subtasks": "games",
29 "aggregate": "mean",
30 "baseline": {
31 "name": "Random agent",
32 "score": 0.0,
33 "subtasks": {
34 "ft09": 0.0,
35 "lp85": 0.0,
36 "ls20": 0.0,
37 "sp80": 0.0,
38 "vc33": 0.0
39 }
40 },
41 "guardrails": [
42 "At most 400 actions a game",
43 "The agent plays through the toolkit against the referee's server and never sees a game's source",
44 "Scored by ARC's RHAE from the server's own recording"
45 ],
46 "version": 1
47 },
48 "checks": {
49 "play": {
50 "path": "referee/check.sbatch",
51 "metrics": "metrics.json"
52 }
53 }
54}