if you want to change any options, check "python main.py --help"

you train and test agent using main.py

'--env_name', type=str, default = 'Hopper-v2', help = "'Ant-v2','HalfCheetah-v2','Hopper-v2','Humanoid-v2','HumanoidStandup-v2',
'InvertedDoublePendulum-v2', 'InvertedPendulum-v2','Walker2d-v2','Swimmer-v2','Reacher-v2'(default : Hopper-v2)"

'--train', type=bool, default=True, help="(default: True)"

'--render', type=bool, default=False, help="(default: False)"

'--epochs', type=int, default=1000, help='number of epochs, (default: 1000)'

'--entropy_coef', type=float, default=1e-2, help='entropy coef (default : 0.01)'

'--critic_coef', type=float, default=0.5, help='critic coef (default : 0.5)'

'--learning_rate', type=float, default=3e-4, help='learning rate (default : 0.0003)'

'--gamma', type=float, default=0.99, help='gamma (default : 0.99)'

'--lmbda', type=float, default=0.95, help='lambda using GAE(default : 0.95)'

'--eps_clip', type=float, default=0.2, help='actor and critic clip range (default : 0.2)'

'--K_epoch', type=int, default=64, help='train epoch number(default : 10)'

'--T_horizon', type=int, default=2048, help='one generation before training(default : 2048)'

'--hidden_dim', type=int, default=64, help='actor and critic network hidden dimension(default : 64)'

'--minibatch_size', type=int, default=64, help='minibatch size(default : 64)'

'--tensorboard', type=bool, default=False, help='use_tensorboard, (default: False)'

'--load', type=str, default = 'no', help = 'load network name in ./model_weights'

'--save_interval', type=int, default = 100, help = 'save interval(default: 100)'

'--print_interval', type=int, default = 20, help = 'print interval(default : 20)'

'--use_cuda', type=bool, default = True, help = 'cuda usage(default : True)'