ray/rllib/agents/ars/__init__.py

from ray.rllib.agents.ars.ars import ARSTrainer, DEFAULT_CONFIG
from ray.rllib.agents.ars.ars_tf_policy import ARSTFPolicy
from ray.rllib.agents.ars.ars_torch_policy import ARSTorchPolicy

__all__ = [
    "ARSTFPolicy",
    "ARSTorchPolicy",
    "ARSTrainer",
    "DEFAULT_CONFIG",
]
[RLlib] PyTorch version of ARS (Augmented Random Search). (#8106) This PR implements a PyTorch version of RLlib's ARS algorithm using RLlib's functional algo builder API. It also adds a regression test for ARS (torch) on CartPole. 2020-04-21 09:47:52 +02:00			`from ray.rllib.agents.ars.ars import ARSTrainer, DEFAULT_CONFIG`
			`from ray.rllib.agents.ars.ars_tf_policy import ARSTFPolicy`
			`from ray.rllib.agents.ars.ars_torch_policy import ARSTorchPolicy`
[rllib] add augmented random search (#2714) * added ars * functioning ars with regression test * added regression tests for ARs * fixed default config for ARS * ARS code runs, now time to test * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * pep8 fixes * removed unused linear model * address comments * more fixing comments * post yapf * fixed support failure * Update LICENSE * Update policies.py * Update test_supported_spaces.py * Update policies.py * Update LICENSE * Update test_supported_spaces.py * Update policies.py * Update policies.py * Update filter.py 2018-08-24 22:20:02 -07:00
[RLlib] PyTorch version of ARS (Augmented Random Search). (#8106) This PR implements a PyTorch version of RLlib's ARS algorithm using RLlib's functional algo builder API. It also adds a regression test for ARS (torch) on CartPole. 2020-04-21 09:47:52 +02:00			`__all__ = [`
			`"ARSTFPolicy",`
			`"ARSTorchPolicy",`
			`"ARSTrainer",`
			`"DEFAULT_CONFIG",`
			`]`