update qrdqn configs

examples/qrdqn/qrdqn_configs/qrdqn_cartpole.yaml

@@ -1,3 +1,15 @@
+dl_toolbox: "torch"  # The deep learning toolbox. Choices: "torch", "mindspore", "tensorlayer"
+project_name: "XuanCe_Benchmark"
+logger: "tensorboard"  # Choices: tensorboard, wandb.
+wandb_user_name: "your_user_name"
+render: True
+render_mode: 'rgb_array' # Choices: 'human', 'rgb_array'.
+fps: 50
+test_mode: False
+device: "cuda:0"  # Choose an calculating device. PyTorch: "cpu", "cuda:0"; TensorFlow: "cpu"/"CPU", "gpu"/"GPU"; MindSpore: "CPU", "GPU", "Ascend", "Davinci".
+distributed_training: False  # Whether to use multi-GPU for distributed training.
+master_port: '12355'  # The master port for current experiment when use distributed training.
+
 agent: "QRDQN"
 env_name: "Classic Control"
 env_id: "CartPole-v1"