Description

The Trajectory.on_env_feedback() interface defined here
only includes self as an argument.

However, the Actor() class defined here requires that the on_env_feedback() method include additional arguments:

self.trajectory.on_env_feedback(
                event, state_by_agent, action_by_agent, reward if reward is not None else self.env.metrics
            )

When we define a custom Trajectory, we can overwrite this method (and we do), but the difference in signature produces pylint errors:

W0221:Parameters differ from overridden 'on_env_feedback' method

As far as I can tell, every use of on_env_feedback requires that same signature, so it should be represented in the interface.

Screenshots

To Reproduce

Steps to reproduce the behavior:

1. Write a custom

Expected Behavior

Environment

• MARO version (e.g., v0.1.1a1):
• MARO scenario (CIM, Citi Bike):
• MARO component (Simulation, RL, Distributed Training):
• Orchestration platform (GraSS on Azure, AKS on Azure):
• How you installed MARO (pip, source):
• OS (Linux, Windows, macOS):
• Python version (3.6, 3.7):
• Docker image (e.g., maro2020/maro:latest):
• CPU/GPU:
• Any other relevant information:

Additional Context