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0.6

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 Contribute 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

© Copyright Antoine Prouvost, Maxime Gasse, Didier Chetelat, Justin Dumouchelle.

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