rl-reward

SKILLFlusso di lavorocommunity
v0.0.0agentscope-aiApache-2.0Aggiornato 17 g faFonte →

Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win ra

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789Stelle del repo
1Client
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17 g faUltimo aggiornamento
Skill
Autoreagentscope-ai
Versione0.0.0
LicenzaApache-2.0
CategoriaFlusso di lavoro
Formatiskill.md
PromptApri (vedi la scheda Prompt)
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for tra

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