README.md

Role of managers

The manager is responsible for the non-learning aspects. The roles of each manager are as follows.

config_manager

• It processes the config file and the optional parameter of run_command, and dumps the config to the storage path.

distributed_manager

• It manages actors in distributed scripts. Let actors interact for update_period and sync actors network.

eval_manager

• A simulation is performed for a certain number of episodes to obtain an evaluated score.
• It saves the frames for recording.

log_manager

• It records the learning progress in TensorBoard.
• It receives the frames for recording and creates it as a gif.

metric_manager

• It manages metrics and calculates and provides statistics.