Commit 5cfbe008 authored by sbl1996@126.com's avatar sbl1996@126.com

Fix README

parent 1c1e37db
...@@ -17,7 +17,7 @@ YGO Agent is a project aimed at mastering the popular trading card game Yu-Gi-Oh ...@@ -17,7 +17,7 @@ YGO Agent is a project aimed at mastering the popular trading card game Yu-Gi-Oh
- [ygoenv](#ygoenv) - [ygoenv](#ygoenv)
- [ygoai](#ygoai) - [ygoai](#ygoai)
- [Installation](#installation) - [Installation](#installation)
- [Quick Start](#quick-start) - [Quick start](#quick-start)
- [Building from source](#building-from-source) - [Building from source](#building-from-source)
- [Troubleshooting](#troubleshooting) - [Troubleshooting](#troubleshooting)
- [Evaluation](#evaluation) - [Evaluation](#evaluation)
...@@ -181,7 +181,7 @@ python -u battle.py --xla_device cpu --checkpoint1 checkpoints/0546_22750M.flax_ ...@@ -181,7 +181,7 @@ python -u battle.py --xla_device cpu --checkpoint1 checkpoints/0546_22750M.flax_
### Single GPU Training ### Single GPU Training
The minimum requirement of training is a NVIDIA GPU. I can even train on a laptop with a 1650. The supported decks that can be found [here](./assets/deck/). Any combination of cards included in these decks is fine, and more will be added later. For demonstration, we'll choose just one deck to train from scratch. The minimum requirement of training is a NVIDIA GPU. I can even train on a laptop with a GeForce GTX 1650. The supported decks that can be found [here](./assets/deck/). Any combination of cards included in these decks is fine, and more will be added later. For demonstration, we'll choose just one deck to train from scratch.
```bash ```bash
cd scripts cd scripts
......
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