Remove invisible ANSI color codes.

get new candidate solutions, sampled from a multi-variate normal distribution and transformed to f-representation (phenotype) to be ev

return the matching valid key, if ``key.lower()`` is a unique starting sequence to identify the valid key, ``else None``

Return the symbolic distribution information about the actions. :param obs_var: symbolic variable for observations :param sta

Get the list of parameters, filtered by the provided tags. Some common tags include 'regularizable' and 'trainable'

Get the list of parameters (symbolically), filtered by the provided tags. Some common tags include 'regularizable' and 'trainable'

Get the list of parameters (symbolically), filtered by the provided tags. Some common tags include 'regularizable' and 'trainable'

(re-)set to the initial state

Return the most recent sample (concatenated observations if needed).

find minimizer of `objective_fct`. CAVEAT: the return value for `optimize` has changed to ``self``. Arguments ---------

abstract method, return ``(x, f(x), ...)``, that is, the minimizer, its function value, ...

Run the collector method using the worker pool. The collect_once method will receive 'G' as its first argument, followed by the provi

:param loss: Symbolic expression for the loss function. :param target: A parameterized object to optimize over. It should implement m

Return a string which represents a horizontal line.

Return a string which represents a row of data cells.

check for ambiguous keys and move attributes into dict

Return the symbolic distribution information about the actions. :param obs_var: symbolic variable for observations :param sta

Get the list of parameters, filtered by the provided tags. Some common tags include 'regularizable' and 'trainable'

Return corresponding observations, actions, rewards, terminal status, and next_observations for batch_size randomly chosen state tran