Mar 26, 2024 · The COPR method includes 4 steps, construct reward function, calculate the sampling distribution, optimal distribution fitting, and optimal ...
Jun 20, 2024 · We propose a new method called Continual Optimal Policy Regularization (COPR), in which we compute the distribution of optimal policy bypassing the partition ...
Oct 24, 2023 · We propose a new method called Continual Optimal Policy Regularization (COPR), in which we compute the distribution of optimal policy bypassing the partition ...
Abstract. The technique of Reinforcement Learning from Human Feedback (RLHF) is acommonly employed method to improve pre-trained Language Models ...
The technique of Reinforcement Learning from Human Feedback (RLHF) is a commonly employed method to improve pre-trained Language Models (LM), ...
Meanwhile, directly learning new human preferences may lead to Catastrophic Forgetting (CF) of historical preferences, resulting in helpless or harmful outputs.
Missing: Fitting. | Show results with:Fitting.
Copf: Continual learning human preference through optimal policy fitting [paper]; CPPO: Continual Learning for Reinforcement Learning with Human Feedback ...
Our experimental results show that COPR outperforms strong Continuous Learning (CL) baselines when it comes to consistently aligning with human preferences on ...
Missing: COPF: | Show results with:COPF:
Oct 24, 2024 · Explore cppo continual learning techniques for reinforcement learning enhanced by human feedback, optimizing AI training processes.
Missing: COPF: | Show results with:COPF:
In this paper, we propose a novel parameter-efficient approach for continual learning in LLMs, which empirically explores the role of different effective ...