0.8
Getting started
Introduction
Installation
Using Environments
How to
Use Observation Functions
Use Reward Functions
Create New Functions
Create New Environments
Generate Problem Instances
Practical Tutorials
Configuring the Solver with Bandits
Branching with Imitation Learning
Reference
Environments
Observations
Rewards
Informations
SCIP Interface
Instance Generators
Utilities
Discussion
Differences with OpenAI Gym
Seeding
Ecole Theoretical Model
Developer Zone
Contribution Guidelines
Example: How to Contribute an Observation Function
Ecole
»
Overview: module code
All modules for which code is available
ecole.core
ecole.core.data
ecole.core.dynamics
ecole.core.information
ecole.core.instance
ecole.core.observation
ecole.core.reward
ecole.core.scip
ecole.environment
ecole.typing