2 papers
cs.RO2024
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
Liangliang Chen, Yutian Lei, Shiyu Jin +2
Reinforcement learning (RL) has demonstrated its capability in solving various tasks but is notorious for its low sample efficiency. In this paper, we propose RLingua, a framework…
cs.IR2023
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation
Liangliang Chen, Hongzhan Lin, Jinshan Ma +1
In the sequential recommendation task, the recommender generally learns multiple embeddings from a user's historical behaviors, to catch the diverse interests of the user. Neverthe…