rcognita.controllers.RLController

class rcognita.controllers.RLController(*args, critic_period=0.1, actor=None, critic=None, time_start=0, action_bounds=None, **kwargs)

Reinforcement learning controller class. Takes instances of actor and critic to operate. Action computation is sampled, i.e., actions are computed at discrete, equi-distant moments in time. critic in turn is updated every critic_period units of time.

__init__(*args, critic_period=0.1, actor=None, critic=None, time_start=0, action_bounds=None, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(*args[, critic_period, actor, …])	Initialize self.
compute_action(time, observation[, …])
compute_action_sampled(time, observation[, …])
reset(time_start)	Resets agent for use in multi-episode simulation.