4 citations · 5 across the 7 of their papers we have counts for
7 papers
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection
Oguzhan Akcin, Po-han Li, Shubhankar Agarwal +1
Fleets of networked autonomous vehicles (AVs) collect terabytes of sensory data, which is often transmitted to central servers (the ''cloud'') for training machine learning (ML) mo…
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations
Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali +1
Recent progress in deep reinforcement learning (RL) and computer vision enables artificial agents to solve complex tasks, including locomotion, manipulation and video games from hi…
Forecaster-aided User Association and Load Balancing in Multi-band Mobile Networks
Manan Gupta, Sandeep Chinchali, Paul Varkey +1
Cellular networks are becoming increasingly heterogeneous with higher base station (BS) densities and ever more frequency bands, making BS selection and band assignment key decisio…
Online Poisoning Attacks Against Data-Driven Predictive Control
Yue Yu, Ruihan Zhao, Sandeep Chinchali +1
Data-driven predictive control (DPC) is a feedback control method for systems with unknown dynamics. It repeatedly optimizes a system's future trajectories based on past input-outp…
Adversarial Examples for Model-Based Control: A Sensitivity Analysis
Po-han Li, Ufuk Topcu, Sandeep P. Chinchali
We propose a method to attack controllers that rely on external timeseries forecasts as task parameters. An adversary can manipulate the costs, states, and actions of the controlle…
Dynamic Selection of Perception Models for Robotic Control
Bineet Ghosh, Masaad Khan, Adithya Ashok +2
Robotic perception models, such as Deep Neural Networks (DNNs), are becoming more computationally intensive and there are several models being trained with accuracy and latency tra…