---
tags:
- generated_from_trainer
- halfcheetah-v4
- deep-reinforcement-learning
- reinforcement-learning
- decision-transformer
- gym-continous-control
datasets:
- edbeeching/decision_transformer_gym_replay
model-index:
- name: decision-transformer-halfcheetah-v4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# decision-transformer-halfcheetah-v4

This model was trained from scratch on the halfcheetah-expert-v2 dataset.
For full code see: https://www.kaggle.com/code/syedjarullahhisham/drl-adv-hf-decisiontransformer-halfcheetah-hopper

## 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-adv-hf-decisiontransformer-halfcheetah-hopper


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 128
- 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: 240

### Framework versions

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