41 citations · 188 across the 52 of their papers we have counts for
10 papers · 1 filter
Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-Robot Systems
Chendi Lin, Wenhao Luo, Katia Sycara
In this paper, we consider the dynamic multi-robot distribution problem where a heterogeneous group of networked robots is tasked to spread out and simultaneously move towards mult…
Predicting Human Strategies in Simulated Search and Rescue Task
Vidhi Jain, Rohit Jena, Huao Li +4
In a search and rescue scenario, rescuers may have different knowledge of the environment and strategies for exploration. Understanding what is inside a rescuer's mind will enable…
Feasible Region-based Identification Using Duality (Extended Version)
Jaskaran Grover, Changliu Liu, Katia Sycara
We consider the problem of estimating bounds on parameters representing tasks being performed by individual robots in a multirobot system. In our previous work, we derived necessar…
Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version)
Jaskaran Singh Grover, Changliu Liu, Katia Sycara
This paper considers the problem of parameter identification for a multirobot system. We wish to understand when is it feasible for an adversarial observer to reverse-engineer the…
Addressing reward bias in Adversarial Imitation Learning with neutral reward functions
Rohit Jena, Siddharth Agrawal, Katia Sycara
Generative Adversarial Imitation Learning suffers from the fundamental problem of reward bias stemming from the choice of reward functions used in the algorithm. Different types of…
Learning Complex Multi-Agent Policies in Presence of an Adversary
Siddharth Ghiya, Katia Sycara
In recent years, there has been some outstanding work on applying deep reinforcement learning to multi-agent settings. Often in such multi-agent scenarios, adversaries can be prese…
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Xinzhi Wang, Huao Li, Hui Zhang +2
Recently, there has been increasing interest in transparency and interpretability in Deep Reinforcement Learning (DRL) systems. Verbal explanations, as the most natural way of comm…
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
Ankur Deka, Katia Sycara
Multi agent strategies in mixed cooperative-competitive environments can be hard to craft by hand because each agent needs to coordinate with its teammates while competing with its…
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
Rohit Jena, Shirsendu Sukanta Halder, Katia Sycara
Despite the recent developments in vision-related problems using deep neural networks, there still remains a wide scope in the improvement of generalizing these models to unseen ex…
Augmenting GAIL with BC for sample efficient imitation learning
Rohit Jena, Changliu Liu, Katia Sycara
Imitation learning is the problem of recovering an expert policy without access to a reward signal. Behavior cloning and GAIL are two widely used methods for performing imitation l…