Decision Transformer: Reinforcement Learning via Sequence Modeling
Paper • 2106.01345 • Published • 3
Decision Transformer model trained on expert trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer model trained from scratch on expert trajectories sampled from the Gym Walker2d environment based on the modified version of the example training script provided by HuggingFace
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- 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: 120
Training results
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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