What will be the score of the best performing agent in the Flatland AI competition?

Your submission is now in Draft mode. Once it's ready, please submit your draft for review by our team of Community Moderators. Thank you!


Can an RL system get the trains to run on time? The Flatland Challenge is a competition in multi-agent RL tackling the Vehicle Re-Scheduling Problem (VRSP), the problem of how to efficiently schedule transit routes while taking into account real world conditions like breakdowns and delays.

Sponsored by the Swiss Federal Railways - who manage the densest mixed railway network in the world - the goal is to create RL agents that can schedule trains in a gridworld environment which minimize the total time of all operating trains.

The first round was focused on basic scheduling - how to get multiple agents (trains) to their destination quickly. The current round has a more complex problem set, with trains: - Operating at four different speeds - Entering and leaving the environment - Randomly malfunctioning, rendering them immobile for a period of time.

The best systems will be able to plan ahead and route efficiently around malfunctions.

As of Oct 28th the best performing agent on the round two leaderboard had a normalized reward of -23.010.

What will be the normalized reward of the top performing agent be at the end of the competition?

Resolution Criteria: The outcome will be determined by the leaderboard at the end of the competition.

The normalized reward is a function of: - Mean number of agents done, in other words how many agents reached their target in time. - Mean reward is just the mean of the cumulated reward. - If multiple participants have the same number of done agents they compute a “nomralized” reward as followes: normalized_reward = cumulative_reward / (self.env._max_episode_steps +self.env.get_num_agents()

Make a Prediction


Note: this question resolved before its original close time. All of your predictions came after the resolution, so you did not gain (or lose) any points for it.

Note: this question resolved before its original close time. You earned points up until the question resolution, but not afterwards.

This question is not yet open for predictions.

Current points depend on your prediction, the community's prediction, and the result. Your total earned points are averaged over the lifetime of the question, so predict early to get as many points as possible! See the FAQ.

Metaculus help: Predicting

Predictions are the heart of Metaculus. Predicting is how you contribute to the wisdom of the crowd, and how you earn points and build up your personal Metaculus track record.

The basics of predicting are very simple: move the slider to best match the likelihood of the outcome, and click predict. You can predict as often as you want, and you're encouraged to change your mind when new information becomes available.

The displayed score is split into current points and total points. Current points show how much your prediction is worth now, whereas total points show the combined worth of all of your predictions over the lifetime of the question. The scoring details are available on the FAQ.

Thanks for predicting!

Your prediction has been recorded anonymously.

Want to track your predictions, earn points, and hone your forecasting skills? Create an account today!

Track your predictions
Continue exploring the site