{
    "ac_kwargs":	{
        "activation":	"ReLU",
        "hidden_sizes":	[
            200,
            100
        ]
    },
    "actor_critic":	"MLPActorCritic",
    "alpha":	0.2,
    "batch_size":	100,
    "env_fn":	"functools.partial(<function env_fn at 0x7f2c7765c950>, env_name='gyroscopeenv-v0', reward_type='Quadratic', reward_args={'qx1': 9, 'qx2': 0.05, 'qx3': 9, 'qx4': 0.05, 'pu1': 0.1, 'pu2': 0.1}, ep_len=110)",
    "epochs":	100,
    "exp_name":	"sac_b2",
    "gamma":	0.99,
    "logger":	{
        "<spinup.utils.logx.EpochLogger object at 0x7f2c34dff550>":	{
            "epoch_dict":	{},
            "exp_name":	"sac_b2",
            "first_row":	true,
            "log_current_row":	{},
            "log_headers":	[],
            "output_dir":	"sac_b2",
            "output_file":	{
                "<_io.TextIOWrapper name='sac_b2/progress.txt' mode='w' encoding='UTF-8'>":	{
                    "mode":	"w"
                }
            }
        }
    },
    "logger_kwargs":	{
        "exp_name":	"sac_b2",
        "output_dir":	"sac_b2"
    },
    "lr":	0.001,
    "max_ep_len":	110,
    "num_test_episodes":	10,
    "polyak":	0.9,
    "replay_size":	1000000,
    "save_freq":	1,
    "seed":	0,
    "start_steps":	5000,
    "steps_per_epoch":	1650,
    "update_after":	1000,
    "update_every":	50
}