ray/rllib/agents/marwil/__init__.py

from ray.rllib.agents.marwil.bc import BCTrainer, BC_DEFAULT_CONFIG
from ray.rllib.agents.marwil.marwil import MARWILTrainer, DEFAULT_CONFIG
from ray.rllib.agents.marwil.marwil_tf_policy import MARWILTFPolicy
from ray.rllib.agents.marwil.marwil_torch_policy import MARWILTorchPolicy

__all__ = [
    "BCTrainer",
    "BC_DEFAULT_CONFIG",
    "DEFAULT_CONFIG",
    "MARWILTFPolicy",
    "MARWILTorchPolicy",
    "MARWILTrainer",
]
[RLlib] Behavioral Cloning (from MARWIL). (#10619) 2020-09-09 17:33:21 +02:00			`from ray.rllib.agents.marwil.bc import BCTrainer, BC_DEFAULT_CONFIG`
[rllib] Rename Agent to Trainer (#4556) 2019-04-07 00:36:18 -07:00			`from ray.rllib.agents.marwil.marwil import MARWILTrainer, DEFAULT_CONFIG`
[RLlib] MARWIL torch. (#7836) * WIP. * WIP. * LINT. * Fix MARWIL so it can run with eager-mode. * LINT. 2020-04-07 01:38:50 +02:00			`from ray.rllib.agents.marwil.marwil_tf_policy import MARWILTFPolicy`
			`from ray.rllib.agents.marwil.marwil_torch_policy import MARWILTorchPolicy`
[rllib] Develop MARWIL (#3635) * add marvil policy graph * fix typo * add offline optimizer and enable running marwil * fix loss function * add maintaining the moving average of advantage norm * use sync replay optimizer for unifying * remove offline optimizer and use sync replay optimizer * format by yapf * add imitation learning objective * fix according to eric's review * format by yapf * revise * add test data * marwil 2019-01-17 11:00:43 +08:00
[RLlib] MARWIL torch. (#7836) * WIP. * WIP. * LINT. * Fix MARWIL so it can run with eager-mode. * LINT. 2020-04-07 01:38:50 +02:00			`__all__ = [`
[RLlib] Behavioral Cloning (from MARWIL). (#10619) 2020-09-09 17:33:21 +02:00			`"BCTrainer",`
			`"BC_DEFAULT_CONFIG",`
[RLlib] MARWIL torch. (#7836) * WIP. * WIP. * LINT. * Fix MARWIL so it can run with eager-mode. * LINT. 2020-04-07 01:38:50 +02:00			`"DEFAULT_CONFIG",`
			`"MARWILTFPolicy",`
			`"MARWILTorchPolicy",`
			`"MARWILTrainer",`
			`]`