Add RewardHarness to Reward Learning - #32
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Summary
Add RewardHarness, a self-evolving agentic reward framework for image-editing preference evaluation, to the Reward Learning section.
Relevance
RewardHarness evolves an inference-time skills and tools library from roughly 100 preference demonstrations, then uses a frozen vision-language sub-agent to produce preference judgments. Its scalar output can also serve as a GRPO reward signal.
I checked the README and existing pull requests and found no RewardHarness entry.