README.md

metadata

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

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