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 | |