README.md

---
tags:
- generated_from_trainer
- reinforcement-learning
- deep-reinfocement-learning
- rubiks-cube
- decision-transformer
model-index:
- name: decision-transformer-rubikscube-v0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

## Model description

An offline decision transformer based agent for solving Rubiks Cube.

## Codes

Github repos(Give a star if found useful):
  * https://github.com/hishamcse/DRL-Renegades-Game-Bots
  * https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots
  * https://github.com/hishamcse/Robo-Chess

Kaggle Notebook:
  * https://www.kaggle.com/code/syedjarullahhisham/drl-advanced-decisiontransformer-rubikscube

## Training and evaluation data

Please see the kaggle notebook: https://www.kaggle.com/code/syedjarullahhisham/drl-advanced-decisiontransformer-rubikscube

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 256
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20000

### Training results



### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1