IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code
Completion
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code
Completion
Code completion aims to enhance programming productivity by predicting potential code based on the current programming context. Recently, pretrained language models (LMs) have become prominent in this field. Various approaches have been proposed to fine-tune LMs using supervised fine-tuning (SFT) techniques for code completion. However, the inherent exposure bias of …