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--- |
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tags: |
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- generated_from_trainer |
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- halfcheetah-v4 |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- decision-transformer |
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- gym-continous-control |
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datasets: |
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- edbeeching/decision_transformer_gym_replay |
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model-index: |
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- name: decision-transformer-halfcheetah-v4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# decision-transformer-halfcheetah-v4 |
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This model was trained from scratch on the halfcheetah-expert-v2 dataset. |
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For full code see: https://www.kaggle.com/code/syedjarullahhisham/drl-adv-hf-decisiontransformer-halfcheetah-hopper |
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## Codes |
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Github repos(Give a star if found useful): |
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* https://github.com/hishamcse/DRL-Renegades-Game-Bots |
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* https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots |
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* https://github.com/hishamcse/Robo-Chess |
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Kaggle Notebook: |
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* https://www.kaggle.com/code/syedjarullahhisham/drl-adv-hf-decisiontransformer-halfcheetah-hopper |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 128 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 240 |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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