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An implementation of Multi-Agent Generative Adversarial Imitation Learning in pytorch.

Python 100.00%

magail_pytorch's Introduction

Multi-Agent Generative Adversarial Imitation Learning (Ongoing)

This repository contains the PyTorch implementation of the Multi-Agent Generative Adversarial Imitation Learning (MAGAIL) and Adversarial Inverse Reinforcement Learning (AIRL) algorithms, originally implemented in TensorFlow version 1. The code in this repository is a conversion of the codebase from TensorFlow v1 to PyTorch, making it more accessible and compatible for research purposes.

Original TensorFlow Version

The original TensorFlow version of this implementation can be found in the following repository:

Link to the Original TensorFlow Repository

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sample spread

simple speaker listener

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