#DQN Agent Playing minetester-treechop_shaped-v0
This is a trained model of a DQN agent playing minetester-treechop_shaped-v0. The model was trained by using minetest-baselines.
Command to reproduce the training
python -m minetest_baselines.train --algo DQN --task minetester-treechop_shaped-v0--algo dqn --task minetester-treechop_shaped-v0 --num-envs 1 --save-model --upload-model --hf-entity rkla --buffer-size 10 --total-timesteps 100 --track --wandb-entity rkla
Hyperparameters
{'batch_size': 128,
'buffer_size': 10,
'capture_video': False,
'end_e': 0.01,
'env_id': 'minetester-treechop_shaped-v0',
'exp_name': 'train_dqn_cleanrl',
'exploration_fraction': 0.9,
'gamma': 0.99,
'hf_entity': 'rkla',
'learning_rate': 0.00025,
'learning_starts': 5000,
'num_envs': 1,
'save_model': True,
'seed': 1,
'start_e': 1,
'target_network_frequency': 10000,
'tau': 1.0,
'total_timesteps': 100,
'track': True,
'train_frequency': 10,
'upload_model': True,
'wandb_entity': 'rkla',
'wandb_project_name': 'minetest-baselines'}