policy
RLHF-Reward-Optimization
prtk1729 · PyTorch
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Overview
Name
RLHF-Reward-Optimization
Author
prtk1729
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
A modular and scalable Reinforcement Learning with Human Feedback (RLHF) pipeline for fine-tuning language models using reward models. Implements PPO-based RL training with reward model optimization from ranked datasets (IMDb sentiment). Designed for reproducibility and extensibility.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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