config.json

{
    "attacker_type": 0,
    "defender_type": 8,
    "env_name": "idsgame-random_attack-v8",
    "hp_tuning": false,
    "hp_tuning_config": null,
    "idsgame_config": null,
    "initial_state_path": null,
    "logger": null,
    "mode": 1,
    "output_dir": "/media/kim/HDD/workspace/gym-idsgame/experiments/training/v8/random_attack/actor_critic",
    "pg_agent_config": {
        "alpha": 1e-05,
        "alternating_optimization": false,
        "alternating_period": 15000,
        "attacker": false,
        "attacker_load_path": null,
        "batch_size": 32,
        "checkpoint_freq": 5000,
        "clip_gradient": false,
        "critic_loss_fn": "MSE",
        "defender": true,
        "defender_load_path": null,
        "epsilon": 1,
        "epsilon_decay": 0.9999,
        "eval_episodes": 100,
        "eval_epsilon": 0.0,
        "eval_frequency": 10000,
        "eval_log_frequency": 1,
        "eval_render": false,
        "eval_sleep": 0.9,
        "gamma": 0.999,
        "gif_dir": "/media/kim/HDD/workspace/gym-idsgame/experiments/training/v8/random_attack/actor_critic/results/gifs",
        "gifs": true,
        "gpu": false,
        "hidden_activation": "ReLU",
        "hidden_dim": 64,
        "input_dim": 132,
        "logger": null,
        "lr_decay_rate": 0.999,
        "lr_exp_decay": false,
        "max_gradient_norm": 40,
        "min_epsilon": 0.01,
        "num_episodes": 350001,
        "num_hidden_layers": 1,
        "opponent_pool": false,
        "opponent_pool_config": null,
        "optimizer": "Adam",
        "output_dim_attacker": 30,
        "output_dim_defender": 33,
        "py/object": "gym_idsgame.agents.training_agents.policy_gradient.pg_agent_config.PolicyGradientAgentConfig",
        "random_seed": 0,
        "render": false,
        "save_dir": "/media/kim/HDD/workspace/gym-idsgame/experiments/training/v8/random_attack/actor_critic/results/data",
        "state_length": 4,
        "tensorboard": true,
        "tensorboard_dir": "/media/kim/HDD/workspace/gym-idsgame/experiments/training/v8/random_attack/actor_critic/results/tensorboard",
        "train_log_frequency": 100,
        "video": true,
        "video_dir": "/media/kim/HDD/workspace/gym-idsgame/experiments/training/v8/random_attack/actor_critic/results/videos",
        "video_fps": 5,
        "video_frequency": 101
    },
    "py/object": "gym_idsgame.config.client_config.ClientConfig",
    "q_agent_config": null,
    "random_seed": 0,
    "random_seeds": [
        0,
        999,
        299,
        399,
        499
    ],
    "run_many": false,
    "simulation_config": null,
    "title": "RandomAttacker vs Actor-Critic"
}