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decision-transformer-halfcheetah-v4
hishamcse/decision-transformer-halfcheetah-v4
decision-transformer-halfcheetah-v4 is a reinforcement learning model from hishamcse. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Reinforcement Learning
- Library
- transformers
- Model type
- decision_transformer
- Access
- Public
- Created
- Jul 8, 2024
- Updated
- Aug 12, 2024
- SHA
- 6155e0a5
Model card
From the Hugging Face model README
<!-- 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. -->
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:
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
- Task
- Reinforcement Learning
- Library
- transformers
- Type
- decision_transformer
- Created
- Jul 8, 2024
- Updated
- Aug 12, 2024