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rl_course_vizdoom_health_gathering_supreme

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rl_course_vizdoom_health_gathering_supreme
File size: 3,897 Bytes 
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{
  "help": false,
  "algo": "APPO",
  "env": "doom_health_gathering_supreme",
  "experiment": "default_experiment",
  "train_dir": "/content/train_dir",
  "restart_behavior": "resume",
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  "num_envs_per_worker": 4,
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  "exploration_loss_coeff": 0.001,
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  "log_to_file": true,
  "experiment_summaries_interval": 10,
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  "save_best_after": 100000,
  "benchmark": false,
  "encoder_mlp_layers": [
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  "encoder_conv_mlp_layers": [
    512
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  "use_rnn": true,
  "rnn_size": 512,
  "rnn_type": "gru",
  "rnn_num_layers": 1,
  "decoder_mlp_layers": [],
  "nonlinearity": "elu",
  "policy_initialization": "orthogonal",
  "policy_init_gain": 1.0,
  "actor_critic_share_weights": true,
  "adaptive_stddev": true,
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  "with_wandb": false,
  "wandb_user": null,
  "wandb_project": "sample_factory",
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  "wandb_job_type": "SF",
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  "res_w": 128,
  "res_h": 72,
  "wide_aspect_ratio": false,
  "eval_env_frameskip": 1,
  "fps": 35,
  "command_line": "--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=6000000",
  "cli_args": {
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    "num_envs_per_worker": 4,
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  "git_hash": "unknown",
  "git_repo_name": "not a git repository",
  "train_script": ".usr.local.lib.python3.10.dist-packages.colab_kernel_launcher"
}