Jiahui Li

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning

2021

Centralized Training with Decentralized Execution (CTDE) has been a popular paradigm in cooperative Multi-Agent Reinforcement Learning (MARL) settings and is widely used in many real applications. One of the major challenges in the training process …

CBDA: Chaos-based binary dragonfly algorithm for evolutionary feature selection

2024 · Intelligent Data Analysis

The goal of feature selection in machine learning is to simultaneously maintain more classification accuracy, while reducing lager amount of attributes. In this paper, we firstly design a fitness function that achieves both objectives jointly. …

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution

2024 · arXiv (Cornell University)

Reinforcement learning from human feedback (RLHF) offers a promising approach to aligning large language models (LLMs) with human preferences. Typically, a reward model is trained or supplied to act as a proxy for humans in …