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AgileRL Documentation

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AgileRL Documentation

Introduction

Get started

Training

Evolutionary Hyperparameter Optimization
Off-Policy Training
On-Policy Training
Offline Training
Multi-Agent Training
Contextual Multi-Armed Bandits
Distributed Training
Using Custom Architecture
Debugging Reinforcement Learning

Tutorials

Gymnasium Single-agent Tutorials
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PettingZoo Multi-agent Tutorials
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Hierarchical Skills Tutorial
Contextual Multi-arm Bandit Tutorials
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- Iris with NeuralUCB
- PenDigits with NeuralTS

API

Algorithms
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Components
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- Experience Replay Buffer
- Multi-Agent Experience Replay Buffer
Hyperparameter Optimization
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- Mutation
- Tournament Selection
Networks
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Training
Utils
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- General Utils
- Probe Environments
Wrappers
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Development

GitHub
Discord
Contribute to AgileRL

v: latest

Versions: latest; stable

Downloads

On Read the Docs: Project Home; Builds

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Contextual Multi-arm Bandit Tutorials¶

These tutorials provide an introductory guide to using AgileRL contextual multi-armed bandit algorithms.

NeuralUCB - Iris

Pen digits image

NeuralTS - PenDigits

Iris with NeuralUCB

Hierarchical Skills Tutorial

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