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Getting Started

Main Concepts

Algorithms

Tutorials

Train an Agent using Behavior Cloning
Train an Agent using the DAgger Algorithm
Train an Agent using Generative Adversarial Imitation Learning
Train an Agent using Adversarial Inverse Reinforcement Learning
Learning a Reward Function using Preference Comparisons
Learning a Reward Function using Preference Comparisons on Atari
Learn a Reward Function using Maximum Conditional Entropy Inverse Reinforcement Learning
Learning a Reward Function using Kernel Density
Train an Agent using Soft Q Imitation Learning
Train an Agent using Soft Q Imitation Learning with SAC
Reliably compare algorithm performance
Train Behavior Cloning in a Custom Environment

API Reference

Development

Developer Guide
Contributing
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- Code of Conduct
- Ways to contribute
Release Notes
License

v: latest

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imitation.scripts.config.tuning#

Config files for tuning experiments.

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