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odiaz1066/CartPoleGoal-Lagomorph-seed42
CartPoleGoal-Lagomorph-seed42 is a reinforcement learning model from odiaz1066. 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 cleanrl.
This is a trained model of a DQN agent playing a custom environment named Lagomorph/CartPoleGoal-v1. This is a modification of CartPole to include a goal position where the pole should be balanced. The model was train…
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Updated May 30, 2023
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From the Hugging Face model README
This is a trained model of a DQN agent playing a custom environment named Lagomorph/CartPoleGoal-v1. This is a modification of CartPole to include a goal position where the pole should be balanced. The model was trained by using CleanRL.
I'll currently update this with the github repo.
TODO
{'batch_size': 128,
'buffer_size': 10000,
'capture_video': True,
'checkpoint': False,
'checkpoint_frequency': 100000,
'cuda': True,
'end_e': 0.05,
'env_id': 'Lagomorph/CartPoleGoal-v1',
'exp_name': 'Lagomorph-CartPoleGoal',
'exploration_fraction': 0.5,
'gamma': 0.99,
'hf_entity': 'odiaz1066',
'initial_steps': 0,
'learning_rate': 0.00025,
'learning_starts': 10000,
'num_envs': 1,
'resume': True,
'save_model': True,
'seed': 42,
'start_e': 1,
'target_network_frequency': 500,
'tau': 1.0,
'torch_deterministic': True,
'total_timesteps': 0,
'track': False,
'train_frequency': 10,
'upload_model': True,
'wandb_entity': None,
'wandb_project_name': 'lagomorph'}