4 citations · 10 across the 4 of their papers we have counts for
4 papers
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
Huixin Zhan, Feng Tao, Yongcan Cao
Human demonstrations can provide trustful samples to train reinforcement learning algorithms for robots to learn complex behaviors in real-world environments. However, obtaining su…
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
Feng Tao, Yongcan Cao
In this paper, we study the problem of obtaining a control policy that can mimic and then outperform expert demonstrations in Markov decision processes where the reward function is…
Graph Based Multi-layer K-means++ (G-MLKM) for Sensory Pattern Analysis in Constrained Spaces
Feng Tao, Rengan Suresh, Johnathan Votion +1
In this paper, we focus on developing a novel unsupervised machine learning algorithm, named graph based multi-layer k-means++ (G-MLKM), to solve data-target association problem wh…
A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization
Samuel Silva, Rengan Suresh, Feng Tao +2
Data-target association is an important step in multi-target localization for the intelligent operation of un- manned systems in numerous applications such as search and rescue, tr…