feat: Add RewardShapingOperator plugin#518
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aretaafandi16-ui wants to merge 1 commit intoagentscope-ai:mainfrom
Open
feat: Add RewardShapingOperator plugin#518aretaafandi16-ui wants to merge 1 commit intoagentscope-ai:mainfrom
aretaafandi16-ui wants to merge 1 commit intoagentscope-ai:mainfrom
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Added a new ExperienceOperator for reward shaping: - Length-based shaping (bonus/penalty for response length) - Format-based shaping (bonus for lists, code blocks, headers) - Configurable strategies and thresholds - Includes unit tests Follows the plugin-first approach recommended in CONTRIBUTING.md. Ready to be graduated to trinity/buffer/operators/ after review.
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Summary
Added a new ExperienceOperator for reward shaping in Trinity-RFT.
Features
Why This Matters
Reward shaping is a key technique in RL fine-tuning. This operator provides a ready-to-use implementation that follows the plugin-first approach recommended in CONTRIBUTING.md.
Usage
Files Added
trinity/plugins/reward_shaping_operator.py— Main operatortests/test_reward_shaping_operator.py— Unit testsBuilt by Laboon 🐋 — AI Assistant powered by Xiaomi MiMo v2 Pro