Unity-Technologies/ml-agents · error · UnityTrainerException
Unknown reward signal type {name}
Error message
Unknown reward signal type {name} What it means
Raised by create_reward_provider when the requested reward signal name is not a key of the RewardSignalType-to-provider-class registry (which maps only extrinsic, curiosity, gail, rnd, etc.). It is a lookup guard over the reward_signals section of the trainer config: the signal name string at fault is either misspelled, or it is a signal type from another ml-agents version (e.g. an old or non-existent signal) for which no provider class exists in the installed package.
Source
Thrown at ml-agents/mlagents/trainers/torch_entities/components/reward_providers/reward_provider_factory.py:44
RewardSignalType.CURIOSITY: CuriosityRewardProvider,
RewardSignalType.GAIL: GAILRewardProvider,
RewardSignalType.RND: RNDRewardProvider,
}
def create_reward_provider(
name: RewardSignalType, specs: BehaviorSpec, settings: RewardSignalSettings
) -> BaseRewardProvider:
"""
Creates a reward provider class based on the name and config entry provided as a dict.
:param name: The name of the reward signal
:param specs: The BehaviorSpecs of the policy
:param settings: The RewardSignalSettings for that reward signal
:return: The reward signal class instantiated
"""
rcls = NAME_TO_CLASS.get(name)
if not rcls:
raise UnityTrainerException(f"Unknown reward signal type {name}")
class_inst = rcls(specs, settings)
return class_inst
View on GitHub (pinned to 3ecb446f75)
Solutions
- Correct the reward signal name in the reward_signals section of the YAML config (valid names include extrinsic, curiosity, gail, rnd) to fix typos or casing
- Remove reward signals that are not supported by the ml-agents version you are running
- Upgrade or downgrade ml-agents to the version that supports the reward signal you want
- Ensure the name under reward_signals is a plain mapping key, not a list or nested structure
Defensive patterns
Strategy: validation
When it happens
Trigger: Thrown at ml-agents/mlagents/trainers/torch_entities/components/reward_providers/reward_provider_factory.py:44 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of Unity-Technologies/ml-agents@3ecb446f75 (2026-09-02).
Data as JSON: /api/errors/8a7e66dd994db473.
Report an issue: GitHub.