Reference

Arcades

Class `BaseAgent`

Abstract class from which inherit to implement an agent.

Inherits from:

Info:

See also:

get_action ()
Return an action to do.
Returns:
- number Action to execute
get_experienced_interactions ()
Return how many interactions the agent lived.
Returns:
- number Number of interactions done
get_learned_epoch ()
Return how many times the agent actually learned from its experience.
Returns:
- number Number of times the agent learned
give_reward ( reward )
Reward or punish the agent.
Parameters:
- number reward
  Reward if positive, punishment if negative
Returns:
- self
integrate_observation ( state )
Integrate current observation from the environment.
Parameters:
- environment.ObservableState state
  The current state of the environment
Returns:
- self

evaluate ()
Put the agent in an evaluation mode.

This can change some internal values of the agent, like the epsilon value for epsilon-greedy strategy.
Returns:
- self
report ()
Return pretty-printed informations about the agent.
Returns:
- string A human readable string about the agent
training ()
Put the agent in a training mode.

This is the default mode of an agent.
Returns:
- self