mirror of
https://github.com/wassname/ray.git
synced 2026-07-13 17:45:08 +08:00
Sven Mika
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
from gym.spaces import Discrete
|
|
|
|
from ray.rllib.utils.exploration.stochastic_sampling import StochasticSampling
|
|
|
|
|
|
class SoftQ(StochasticSampling):
|
|
"""Special case of StochasticSampling w/ Categorical and temperature param.
|
|
|
|
Returns a stochastic sample from a Categorical parameterized by the model
|
|
output divided by the temperature. Returns the argmax iff explore=False.
|
|
"""
|
|
|
|
def __init__(self, action_space, temperature=1.0, framework="tf",
|
|
**kwargs):
|
|
"""Initializes a SoftQ Exploration object.
|
|
|
|
Args:
|
|
action_space (Space): The gym action space used by the environment.
|
|
temperature (Schedule): The temperature to divide model outputs by
|
|
before creating the Categorical distribution to sample from.
|
|
framework (Optional[str]): One of None, "tf", "torch".
|
|
kwargs (dict): Passed on to super constructor.
|
|
"""
|
|
assert isinstance(action_space, Discrete)
|
|
super().__init__(
|
|
action_space=action_space,
|
|
static_params=dict(temperature=temperature),
|
|
framework=framework,
|
|
**kwargs)
|