Benchmark world-model agents in one public surface.
WorldModel Gym turns environments, uploads, traces, and leaderboards into a research instrument you can read at a glance — and share with one clean URL.
mu-planner
GridWorld-9
dreamer-v3
GridWorld-9
mcts-base
GridWorld-9
random+
GridWorld-9
Runs
0
Agents
0
Avg cost
0.0k
Benchmark surfaces
Rigorous evaluation, not cherry-picked demo polish.
Task framing, run uploads, leaderboard slices, and trace inspection move together as one public story.
Task library
Document environments with clear defaults, precise constraints, and readable benchmark framing.
Browse tasksLive leaderboards
Compare planning quality, return, and cost in one public surface instead of scattered artifacts.
Open leaderboardsUpload studio
Create a run, attach metrics and traces, and publish from the browser — CLI and API still available.
Publish a runProduct workflow
One workflow: create, evaluate, upload, compare.
Every stage feeds the next, so a research idea becomes a public, reproducible benchmark without leaving the product.
Stage 01 / 04
Design a benchmark brief that reads clearly from the first click.
Shape sparse-reward tasks, defaults, and success criteria before you ever touch a leaderboard. The fastest path from a research idea to a benchmark someone else can immediately understand.
Prompt
Frame a partially observable benchmark with delayed reward, reproducible seeds, and a planning budget that matches the story you want the leaderboard to tell.
Pick an environment
Choose a task with explicit constraints and failure modes.
Lock the defaults
Set seeds and budgets that make the benchmark reproducible.
Carry it forward
Move the task straight into evaluation and upload.
Live benchmark product
Publish planning research without the visual clutter.
Ship new runs, compare them publicly, and reuse the same surface in your README, interviews, portfolio, or research demo.
Imagination rollout
Every ranked run traces back to a planner search over an environment model — visible, not hidden behind a screenshot.