62 citations · 79 across the 7 of their papers we have counts for
7 papers
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics
Oguzhan Akcin, Robert P. Streit, Benjamin Oommen +2
There are a multitude of Blockchain-based physical infrastructure systems, operating on a crypto-currency enabled token economy, where infrastructure suppliers are rewarded with to…
Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng, Marco Pavone, Sachin Katti +2
Sharing forecasts of network timeseries data, such as cellular or electricity load patterns, can improve independent control applications ranging from traffic scheduling to power g…
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency
Bineet Ghosh, Sandeep Chinchali, Parasara Sridhar Duggirala
A robot can invoke heterogeneous computation resources such as CPUs, cloud GPU servers, or even human computation for achieving a high-level goal. The problem of invoking an approp…
Sampling Training Data for Continual Learning Between Robots and the Cloud
Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya +5
Today's robotic fleets are increasingly measuring high-volume video and LIDAR sensory streams, which can be mined for valuable training data, such as rare scenes of road constructi…
Task-relevant Representation Learning for Networked Robotic Perception
Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis +3
Today, even the most compute-and-power constrained robots can measure complex, high data-rate video and LIDAR sensory streams. Often, such robots, ranging from low-power drones to…
Multi-agent Reinforcement Learning for Networked System Control
Tianshu Chu, Sandeep Chinchali, Sachin Katti
This paper considers multi-agent reinforcement learning (MARL) in networked system control. Specifically, each agent learns a decentralized control policy based on local observatio…