Skip to main content
Back to top
Ctrl
+
K
Welcome to Flatland
Getting started
Installing Flatland
Flatland Environment
Using
RailEnv
Sequential Agent
Environment
Level Generation
Environment information
Provided Observations
Custom observations
Timetables
Multi-Agent Pettingzoo Usage
Environment Wrappers
Malfunctions
Speed profiles
State machine
Multi-Agent Interface
Unordered Close Following
Turorials
Operations Research
Reinforcement Learning
Single agent
Multiple Agents
Sequential agent
Challenges
Flatland 3
Make your first submission
Evaluation Metrics
Moving Flatland 2 code to Flatland 3 - Common changes
Testing Submissions Locally
Environment Configurations
AMLD 2021
Making a Submission
Evaluation Metrics
Environment Configurations
Neurips 2020
Making a Submission
Evaluation Metrics
Environment Configurations
FAQs
Challenge Solutions
Research
RLlib Baselines
Getting started
Centralized Critic PPO
Imitation Learning Training
Global Density Observation
Combined Observation
Frame skipping and action masking
Research Ideas
Analysis Framework
Introduction
Setup Instructions
1. API Description & Usage
What does the API consist of
How to use the API
List of provided raw data
List of provided Derived Metrics
Extending the API’s functionality
FAQ
Flatland Environment
Flatland Research
Misc
Community Projects
Contributing
Writing code
Writing documentation
Credits
Index
