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general_cfg:
algo_name: NoisyDQN
device: cpu
env_name: CartPole-v1
eval_eps: 10
eval_per_episode: 5
load_checkpoint: false
load_path: Train_CartPole-v1_NoisyDQN
max_steps: 200
mode: train
new_step_api: true
render: false
save_fig: true
seed: 1
show_fig: false
test_eps: 10
train_eps: 100
wrapper: null
algo_cfg:
batch_size: 64
buffer_size: 100000
epsilon_decay: 500
epsilon_end: 0.01
epsilon_start: 0.95
gamma: 0.95
hidden_dim: 256
lr: 0.0001
target_update: 4
tau: 1.0
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