OTTO (Odor-based Target Tracking Optimization)

User Guide

• What is OTTO?
• Installation
  • Requirements
  • Conda users
  • Installing
  • Testing
• Quick start
  • First steps
  • Changing parameters
  • Evaluating a policy
  • Learning a policy
  • Visualizing and evaluating a learned policy
  • Trained neural networks
  • Custom policies
  • Cleaning up
• The source-tracking POMDP
  • Description
  • Observation model
  • Bayesian updates
  • Initialization protocol
  • A step-by-step search
• Policies
  • Definitions
  • Evaluation protocol
• Deep Reinforcement Learning
  • Training algorithm
  • Trained neural networks
  • Gym wrapper
• Gallery
• References
• API Documentation
  • General Usage
  • Visualize
  • Evaluate
  • Learn
  • Modules

Indices and tables

• Index

• Module Index

• Search Page