def setup_mixins(policy, obs_space, action_space, config):
ValueNetworkMixin.__init__(policy, obs_space, action_space, config)
KLCoeffMixin.__init__(policy, config)
EntropyCoeffSchedule.__init__(policy, config["entropy_coeff"],
config["entropy_coeff_schedule"])
warmup_steps = config["model"]["custom_options"].get(
"warmup_steps", 100000)
TransformerLearningRateSchedule.__init__(
policy, config["model"]["custom_options"]["transformer"]["num_heads"],
warmup_steps)
def setup_late_mixins(policy: Policy, obs_space: gym.spaces.Space,
action_space: gym.spaces.Space,
config: TrainerConfigDict):
"""Call all mixin classes' constructors after APPOPolicy initialization.
Args:
policy (Policy): The Policy object.
obs_space (gym.spaces.Space): The Policy's observation space.
action_space (gym.spaces.Space): The Policy's action space.
config (TrainerConfigDict): The Policy's config.
"""
KLCoeffMixin.__init__(policy, config)
ValueNetworkMixin.__init__(policy, obs_space, action_space, config)
TargetNetworkMixin.__init__(policy)
def setup_late_mixins(policy: Policy, obs_space: gym.spaces.Space,
action_space: gym.spaces.Space,
config: TrainerConfigDict):
"""Call all mixin classes' constructors after APPOPolicy initialization.
Args:
policy (Policy): The Policy object.
obs_space (gym.spaces.Space): The Policy's observation space.
action_space (gym.spaces.Space): The Policy's action space.
config (TrainerConfigDict): The Policy's config.
"""
KLCoeffMixin.__init__(policy, config)
ValueNetworkMixin.__init__(policy, obs_space, action_space, config)
TargetNetworkMixin.__init__(policy, obs_space, action_space, config)
# Move target net to device (this is done automatically for the
# policy.model, but not for any other models the policy has).
policy.target_model = policy.target_model.to(policy.device)
def setup_late_mixins(policy, obs_space, action_space, config):
KLCoeffMixin.__init__(policy, config)
ValueNetworkMixin.__init__(policy, obs_space, action_space, config)
TargetNetworkMixin.__init__(policy, obs_space, action_space, config)
def setup_torch_mixins(policy, obs_space, action_space, config):
# Copied from PPOTorchPolicy (w/o ValueNetworkMixin).
TorchKLCoeffMixin.__init__(policy, config)
TorchEntropyCoeffSchedule.__init__(policy, config["entropy_coeff"],
config["entropy_coeff_schedule"])
TorchLR.__init__(policy, config["lr"], config["lr_schedule"])
