activity
20202023
most citedRobust Reinforcement Learning via Adversarial training with Langevin Dynamics

12 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023

Privacy-Preserving Video Conferencing via Thermal-Generative Images

Sheng-Yang Chiu, Yu-Ting Huang, Chieh-Ting Lin +5

Due to the COVID-19 epidemic, video conferencing has evolved as a new paradigm of communication and teamwork. However, private and personal information can be easily leaked through…

cs.LG2022

Robust Learning from Observation with Model Misspecification

Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban +3

Imitation learning (IL) is a popular paradigm for training policies in robotic systems when specifying the reward function is difficult. However, despite the success of IL algorith…

cs.RO2021★ 2 cited

Reinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors

Chen-Huan Pi, Kai-Chun Hu, Yu-Ting Huang +1

Micro aerial vehicles are widely being researched and employed due to their relative low operation costs and high flexibility in various applications. We study the under-actuated q…

cs.LG2020★ 3 cited

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban +2

We study the inverse reinforcement learning (IRL) problem under a transition dynamics mismatch between the expert and the learner. Specifically, we consider the Maximum Causal Entr…

cs.LG2020★ 12 cited

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh +3

We introduce a sampling perspective to tackle the challenging task of training robust Reinforcement Learning (RL) agents. Leveraging the powerful Stochastic Gradient Langevin Dynam…