41 citations · 188 across the 52 of their papers we have counts for
8 papers · 1 filter
Simultaneous Identification of Tweet Purpose and Position
Rahul Radhakrishnan Iyer, Yulong Pei, Katia Sycara
Tweet classification has attracted considerable attention recently. Most of the existing work on tweet classification focuses on topic classification, which classifies tweets into…
An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text
Rahul Radhakrishnan Iyer, Katia Sycara
With the increasing growth of social media, people have started relying heavily on the information shared therein to form opinions and make decisions. While such a reliance is moti…
Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds
Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li +1
Sentiment Analysis of microblog feeds has attracted considerable interest in recent times. Most of the current work focuses on tweet sentiment classification. But not much work has…
MAME : Model-Agnostic Meta-Exploration
Swaminathan Gurumurthy, Sumit Kumar, Katia Sycara
Meta-Reinforcement learning approaches aim to develop learning procedures that can adapt quickly to a distribution of tasks with the help of a few examples. Developing efficient ex…
Deadlock Analysis and Resolution in Multi-Robot Systems (Extended Version)
Jaskaran Grover, Changliu Liu, Katia Sycara
Collision avoidance for multirobot systems is a well studied problem. Recently, control barrier functions (CBFs) have been proposed for synthesizing controllers guarantee collision…
Behavior Mixing with Minimum Global and Subgroup Connectivity Maintenance for Large-Scale Multi-Robot Systems
Wenhao Luo, Sha Yi, Katia Sycara
In many cases the multi-robot systems are desired to execute simultaneously multiple behaviors with different controllers, and sequences of behaviors in real time, which we call \t…
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal, Sumit Kumar, Katia Sycara
While multi-agent interactions can be naturally modeled as a graph, the environment has traditionally been considered as a black box. We propose to create a shared agent-entity gra…
Active Learning with Gaussian Processes for High Throughput Phenotyping
Sumit Kumar, Wenhao Luo, George Kantor +1
A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability. High Throughput Phenot…