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AgileRL Documentation

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AgileRL Documentation

Introduction

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AgileRL 2.0 Release Notes

Training

Evolutionary Hyperparameter Optimization
Off-Policy Training
On-Policy Training
Offline Training
Multi-Agent Training
Large Language Model Finetuning
Contextual Multi-Armed Bandits
Distributed Training
Evolvable Neural Networks in AgileRL
Integrating Architecture Mutations Into a Custom PyTorch Network
Creating Custom Algorithms
Debugging Reinforcement Learning

Tutorials

Gymnasium Single-agent Tutorials
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PettingZoo Multi-agent Tutorials
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Hierarchical Skills Tutorial
LLM Finetuning Tutorials
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- LLM Reasoning Tutorial
- LLM Finetuning with HPO
Contextual Multi-arm Bandit Tutorials
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- Iris with NeuralUCB
- PenDigits with NeuralTS
Creating Custom Networks Tutorials
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- Building a Dueling Distributional Q Network
- Integrating Architecture Mutations Into SimBa

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
Modules
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Networks
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Training
Utils
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Vector
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- Petting Zoo Async Vector Environment
- Petting Zoo Vector Base Class
Wrappers
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Development

GitHub
Discord
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LLM Finetuning Tutorials¶

These tutorials provide an introductory guide to using AgileRL for finetuning LLMs.

GRPO - Finetuning

GRPO - Finetuning with HPO

LLM Reasoning Tutorial

Hierarchical Skills Tutorial

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