ENTITY Proximal Policy Optimization with High-order Sampling Coverage

Proximal Policy Optimization with High-order Sampling Coverage

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TOOL · CL_154052 · Jul 21 · 04:00

New RL framework PPO-HSC boosts LLM diversity and exploration

Researchers have introduced PPO-HSC, a novel reinforcement learning framework designed to improve the fine-tuning of Large Language Models (LLMs). This framework addresses the issue of mode collapse, where models over-o…

New RL framework PPO-HSC boosts LLM diversity and exploration