Scalable toolkit for efficient model reinforcement

3 Open Issues Need Help Last updated: Jun 24, 2025

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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.

Complexity: 4/5
good first issue

Scalable toolkit for efficient model reinforcement

Python
good first issue

Scalable toolkit for efficient model reinforcement

Python
good first issue

Scalable toolkit for efficient model reinforcement

Python