Agents – sc2qsr.agents
¶
-
class
sc2qsr.agents.
PySC2Agent
(map_size: tuple, m: int = 4, n: int = 4, alpha=0.1, gamma=0.6, epsilon=0.1, policy='egreedy')[source]¶ An agent that uses qualitative spatial reasoning to discretize states received by the pysc2 environment, select actions that are spatially qualitative and convert them back to pysc2 actions.
- Parameters
map_size (tuple) – tuple containing the (x,y) dimensions of the map
m (int, optional) – granularity for qualitative spatial angular regions, defaults to 4
n (int, optional) – granularity for qualitative spatial distance regions, defaults to 4
alpha (float, optional) – learning rate, defaults to .1
gamma (float, optional) – discount factor, defaults to .6
epsilon (float, optional) – value for epsilon-greedy policy, defaults to .1
policy (str, optional) – what type of policy to use from
['egreedy', 'boltzmann']
, defaults to ‘egreedy’
-
static
array2oneliner
(a: numpy.ndarray) → str[source]¶ Converts a numpy.ndarray into a one-line string containing all its information
- Parameters
a (numpy.ndarray) – A 1D or 2D numpy.ndarray
- Returns
a one-line string representation of the array
- Return type
-
static
oneliner2array
(s: str, dtype)[source]¶ Converts a one-line string representation (see
array2oneliner()
) of one or more numpy arrays back into their string representations- Parameters
s (str) – one-line string representation of the arrays
dtype (function) – a function which is called to convert the value of each element in the arrays
- Returns
a tuple of arrays if s contains more than one array. Otherwise, a single array.