Skip to main content
Back to top
Ctrl
+
K
navground_learning 0.1.0 documentation
Search
Ctrl
+
K
Contents:
Introduction
Installation
Tutorials
Basics
Gymnasium Environment
Navground-PettingZoo integration
Using a ML policy in Navground
Empty environment
Corridor with obstacle
Scenario
Learning
Crossing
Training one agent among many agents
Performance of policies trained in single-agent environment
Training agents among peers
Performance of policies trained in multi-agent environment
Periodic Crossing
Uniform speeds
Different speeds
Guides
How to extend
Reference
Types
Indices
Configuration
Rewards functions
Single-agent Gymnasium Environment
Multi-agent Pettingzoo Environment
Policies
Imitation Learning
Evaluation
Saving and Loading
Onnx
Navground Components
Examples
.rst
.pdf
Guides
Guides
#
Contents:
How to extend