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easy-rl/projects/codes/A2C/config/Pendulum-v1_A2C_Train.yaml
2022-11-06 12:15:36 +08:00

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YAML

general_cfg:
algo_name: A2C
device: cuda
env_name: Pendulum-v1
mode: train
eval_per_episode: 200
load_checkpoint: false
load_path: Train_CartPole-v1_DQN_20221026-054757
max_steps: 200
save_fig: true
seed: 1
show_fig: false
test_eps: 20
train_eps: 1000
algo_cfg:
continuous: true
batch_size: 64
buffer_size: 100000
gamma: 0.0003
actor_lr: 0.0003
critic_lr: 0.001