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View All on GitHubScalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement
AI Summary: The task involves cleaning up default values in the configuration files of a reinforcement learning library (NeMo RL) to adhere to a specific design philosophy. This requires reviewing several Python files, identifying instances where default values are hardcoded, and refactoring the code to use configuration files instead. The goal is to improve maintainability and consistency.
Scalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement
Scalable toolkit for efficient model reinforcement