nmi-val / qlearning / working_policy / val-v5
val-v5
Raw
{
    "env_name": "Valkyrie-5",
    "policy_name": "DqnWarmstartPolicy",
    "policy_params": {
        "batch_size": 128,
        "layer_sizes": [
            64,
            64
        ],
        "double_q": true,
        "dueling": false,
        "model_type": "dense",
        "step_size": 1
    },
    "train_params": {
        "lr": 0.001,
        "epsilon": 1.0,
        "epsilon_final": 0.1,
        "warmup_episodes": 1000,
        "log_every_episode": 1,
        "n_episodes": 1000,
        "target_update_every_step": 100,
        "update_per_sample": 1,
        "episode_length": 20
    }
}