6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 1 cited
Deep Reinforcement Learning for Flipper Control of Tracked Robots
Hainan Pan, Bailiang Chen, Kaihong Huang +3
The autonomous control of flippers plays an important role in enhancing the intelligent operation of tracked robots within complex environments. While existing methods mainly rely…
cs.LG2023★ 6 cited
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue, Guanbo Wang, Wei Shao +4
This work aims to tackle a major challenge in offline Inverse Reinforcement Learning (IRL), namely the reward extrapolation error, where the learned reward function may fail to exp…
cs.IR2016
Content-Based Top-N Recommendation using Heterogeneous Relations
Yifan Chen, Xiang Zhao, Junjiao Gan +2
Top- recommender systems have been extensively studied. However, the sparsity of user-item activities has not been well resolved. While many hybrid systems were proposed to addr…