USTBench / road_planning /Data /demo.yaml
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# reward
reward_specs:
dis_weight: 0.5
cost_weight: 0.5
build_ration: 0.5
# agent
agent_specs:
batch_stage: false
gamma: 0.9
tau: 0.0
state_encoder_specs:
state_encoder_hidden_size: [16, 4]
gcn_node_dim: 16
num_gcn_layers: 2
num_edge_fc_layers: 1
max_num_nodes: 1000
max_num_edges: 3000
num_attention_heads: 1
policy_specs:
policy_land_use_head_hidden_size: [32, 1]
policy_road_head_hidden_size: [32, 1]
value_specs:
value_head_hidden_size: [32, 32, 1]
lr: 4.0e-4
weightdecay: 0.0
eps: 1.0e-5
value_pred_coef: 0.5
entropy_coef: 0.01
clip_epsilon: 0.2
max_num_iterations: 100
#num_episodes_per_iteration: 500
num_episodes_per_iteration: 1200
#max_sequence_length: 100
max_sequence_length: 33
num_optim_epoch: 4
#mini_batch_size: 1024
mini_batch_size: 1024
save_model_interval: 1