args.json

{
    "action_repeat": 4,
    "actor_beta": 0.9,
    "actor_log_std_max": 2,
    "actor_log_std_min": -10,
    "actor_lr": 0.001,
    "actor_update_freq": 2,
    "agent": "sac_ae",
    "alpha_beta": 0.5,
    "alpha_lr": 0.0001,
    "batch_size": 128,
    "change_angle": true,
    "critic_beta": 0.9,
    "critic_lr": 0.001,
    "critic_target_update_freq": 2,
    "critic_tau": 0.01,
    "decoder_latent_lambda": 1e-06,
    "decoder_lr": 0.001,
    "decoder_type": "identity",
    "decoder_update_freq": 1,
    "decoder_weight_lambda": 1e-07,
    "description": "Testing that running the vectorized and non vectorized code gives similar performance",
    "discount": 0.99,
    "domain_name": "cheetah",
    "encoder_feature_dim": 200,
    "encoder_lr": 0.001,
    "encoder_tau": 0.05,
    "encoder_type": "identity",
    "eval_freq": 10000,
    "exp_name": "testing",
    "frame_stack": 3,
    "hidden_dim": 1024,
    "image_size": 84,
    "init_steps": 1000,
    "init_temperature": 0.1,
    "load_buffer_path": "buffer",
    "load_model": false,
    "load_model_path": "model",
    "log_interval": 1000,
    "num_eval_envs": 1,
    "num_eval_episodes": 10,
    "num_filters": 32,
    "num_layers": 6,
    "num_samples": 50000,
    "num_train_envs": 1,
    "num_train_steps": 1000000,
    "replay_buffer_capacity": 1000000,
    "save_buffer": false,
    "save_buffer_path": "buffer",
    "save_model": true,
    "save_model_path": "models",
    "save_tb": false,
    "save_video": false,
    "seed": 1,
    "task_name": "run",
    "use_actor": false,
    "use_discriminator": false,
    "use_reward": false,
    "use_single_encoder_decoder": false,
    "work_dir": "."
}