Creates class instance.

Creates class instance. Arguments: params .env (gym.env): Environment for which this controller will be used.

Creates an instance of this class. Arguments: sol_dim (int): The dimensionality of the problem space max_iters (int):

Creates class instance.

Creates class instance. Arguments: params .env (gym.env): Environment for which this controller will be used.

Performs an action.

Performs an action.

Returns the action that this controller would take at time t given observation obs. Arguments: obs: The current observation

:return: Environment's action dimension

:return: Current environment observation dict

Static class function that describes how many cameras this environment has by default NOTE: This can be called by BaseEnv.default_nc

Dumps logs into primary log directory and per-train iteration log directory.

Saves logs to either a primary log directory or another iteration-specific directory. See __init__ documentation to see what is being logged.

Dumps logs into primary log directory and per-train iteration log directory.

return environment statistics, like distance to goal etc. :param agentdata: :return: