general_cfg:
  algo_name: DRQN
  device: cuda
  env_name: CartPole-v1
  eval_eps: 10
  eval_per_episode: 5
  load_checkpoint: false
  load_path: Train_CartPole-v1_
  max_steps: 200
  mode: train
  new_step_api: true
  render: false
  save_fig: true
  seed: 1
  show_fig: false
  test_eps: 10
  train_eps: 200
  wrapper: null
algo_cfg:
  batch_size: 8
  buffer_size: 100000
  epsilon_decay: 0.995
  epsilon_end: 0.001
  epsilon_start: 0.1
  gamma: 0.99
  hidden_dim: 64
  lookup_step: 10
  lr: 0.001
  max_epi_len: 100
  max_epi_num: 100
  min_epi_num: 16
  target_update: 4
  value_layers:
  - activation: relu
    layer_dim:
    - n_states
    - 64
    layer_type: linear
  - activation: relu
    layer_dim:
    - 64
    - 64
    layer_type: linear
  - activation: none
    layer_dim:
    - 64
    - n_actions
    layer_type: linear