Explore Reinforcement Learning use-case integration in WeightsLab

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Summary

Explore integration of a Reinforcement Learning (RL) use case into WeightsLab.

Scope

• Assess fit of RL workflows within current WeightsLab abstractions.
• Prototype a minimal RL integration path (env loop, rollout/update cycle, logging/checkpointing).
• Identify required API extensions and architectural gaps.
• Provide go/no-go recommendation with phased implementation proposal.

Acceptance Criteria

• Minimal RL proof-of-concept runs within WeightsLab boundaries.
• Integration gaps and required changes are documented.
• A clear recommendation and next-step plan is delivered.