Fix --confile_file flag in command examples

The training command examples contain the --config_path flag. This will throw an error. In the source code --config_file or -c is used.

Author: mischkadb

docs/EXAMPLE_ENVIRONMENTS.md

@@ -32,7 +32,7 @@ For the current version, we provide 4 example environments, located in **envs/ex
 ### Example training:
 The agent can be trained with the following command:
 ```
-gdrl --env_path envs/builds/JumperHard/jumper_hard.x86_64 --config_path envs/configs/ppo_config_jumper_hard.yaml
+gdrl --env_path envs/builds/JumperHard/jumper_hard.x86_64 --config_file envs/configs/ppo_config_jumper_hard.yaml
 ```
 Training logs will be output by default to **/home/USER/ray_results/PPO/jumper_hard/**
 You can monitor training curves etc with tensorboard
@@ -71,7 +71,7 @@ gdrl --env_path envs/builds/JumperHard/jumper_hard.x86_64 --eval --restore envs/
 ### Example training:
 The agent can be trained with the following command:
 ```
-gdrl --env_path envs/builds/BallChase/ball_chase.x86_64 --config_path envs/configs/ppo_config_ball_chase.yaml
+gdrl --env_path envs/builds/BallChase/ball_chase.x86_64 --config_file envs/configs/ppo_config_ball_chase.yaml
 ```
 Training logs will be output by default to **/home/USER/ray_results/PPO/ball_chase/**
 You can monitor training curves etc with tensorboard
@@ -108,7 +108,7 @@ gdrl --env_path envs/builds/BallChase/ball_chase.x86_64 --eval --restore envs/ch
 ### Example training:
 The agent can be trained with the following command:
 ```
-gdrl --env_path envs/builds/FlyBy/fly_by.x86_64 --config_path envs/configs/ppo_config_fly_by.yaml
+gdrl --env_path envs/builds/FlyBy/fly_by.x86_64 --config_file envs/configs/ppo_config_fly_by.yaml
 ```
 Training logs will be output by default to **/home/USER/ray_results/PPO/fly_by/**
 You can monitor training curves etc with tensorboard
@@ -149,7 +149,7 @@ gdrl --env_path envs/builds/FlyBy/fly_by.x86_64 --eval --restore envs/checkpoint
 ### Example training:
 The agent can be trained with the following command:
 ```
-gdrl --env_path envs/builds/SpaceShooter/space_shooter.x86_64 --config_path envs/configs/ppo_config_space_shooter.yaml
+gdrl --env_path envs/builds/SpaceShooter/space_shooter.x86_64 --config_file envs/configs/ppo_config_space_shooter.yaml
 ```
 Training logs will be output by default to **/home/USER/ray_results/PPO/space_shooter/**
 You can monitor training curves etc with tensorboard