27 citations · 59 across the 7 of their papers we have counts for
7 papers
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu, Soroush Nasiriany, Lance Zhang +2
With the rapid growth of computing powers and recent advances in deep learning, we have witnessed impressive demonstrations of novel robot capabilities in research settings. Noneth…
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany, Huihan Liu, Yuke Zhu
Realistic manipulation tasks require a robot to interact with an environment with a prolonged sequence of motor actions. While deep reinforcement learning methods have recently eme…
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh, Huihan Liu, Gaoyue Zhou +3
Reinforcement learning provides a general framework for flexible decision making and control, but requires extensive data collection for each new task that an agent needs to learn.…
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure
Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan +6
In this paper, we propose a gamification approach as a novel framework for smart building infrastructure with the goal of motivating human occupants to reconsider personal energy u…
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks
Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala +3
Energy game-theoretic frameworks have emerged to be a successful strategy to encourage energy efficient behavior in large scale by leveraging human-in-the-loop strategy. A number o…
Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso
Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala +3
A generalized gamification framework is introduced as a form of smart infrastructure with potential to improve sustainability and energy efficiency by leveraging humans-in-the-loop…
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
Ioannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He +3
The implementation of smart building technology in the form of smart infrastructure applications has great potential to improve sustainability and energy efficiency by leveraging h…