Katia Sycara

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Carnegie Mellon University

Research Professor, Robotics and holder (part time) of the Sixth Century Chair in computing Science, University of Aberdeen UK. Director of the Advanced Agent-Robotics Technology Lab.

Deep Interpretable Models of Theory of Mind For Human-Agent Teaming

When developing AI systems that interact with humans, it is essential to...
04/07/2021 ∙ by Ini Oguntola, et al. ∙ 2 ∙ share

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Hiding Leader's Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning

Leader-follower navigation is a popular class of multi-robot algorithms ...
03/10/2021 ∙ by Ankur Deka, et al. ∙ 0 ∙ share

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Adaptive Agent Architecture for Real-time Human-Agent Teaming

Teamwork is a set of interrelated reasoning, actions and behaviors of te...
03/07/2021 ∙ by Tianwei Ni, et al. ∙ 12 ∙ share

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Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-Robot Systems

In this paper, we consider the dynamic multi-robot distribution problem ...
12/18/2020 ∙ by Chendi Lin, et al. ∙ 0 ∙ share

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Predicting Human Strategies in Simulated Search and Rescue Task

In a search and rescue scenario, rescuers may have different knowledge o...
11/15/2020 ∙ by Vidhi Jain, et al. ∙ 4 ∙ share

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Feasible Region-based Identification Using Duality (Extended Version)

We consider the problem of estimating bounds on parameters representing ...
11/08/2020 ∙ by Jaskaran Grover, et al. ∙ 0 ∙ share

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Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version)

This paper considers the problem of parameter identification for a multi...
09/29/2020 ∙ by Jaskaran Singh Grover, et al. ∙ 0 ∙ share

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Addressing reward bias in Adversarial Imitation Learning with neutral reward functions

Generative Adversarial Imitation Learning suffers from the fundamental p...
09/20/2020 ∙ by Rohit Jena, et al. ∙ 5 ∙ share

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Learning Complex Multi-Agent Policies in Presence of an Adversary

In recent years, there has been some outstanding work on applying deep r...
08/18/2020 ∙ by Siddharth Ghiya, et al. ∙ 0 ∙ share

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Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System

Recently, there has been increasing interest in transparency and interpr...
08/04/2020 ∙ by Xinzhi Wang, et al. ∙ 61 ∙ share

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Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams

Multi agent strategies in mixed cooperative-competitive environments can...
07/06/2020 ∙ by Ankur Deka, et al. ∙ 0 ∙ share

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MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning

Despite the recent developments in vision-related problems using deep ne...
04/10/2020 ∙ by Rohit Jena, et al. ∙ 0 ∙ share

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Loss-annealed GAIL for sample efficient and stable Imitation Learning

Imitation learning is the problem of learning a policy from an expert po...
01/21/2020 ∙ by Rohit Jena, et al. ∙ 8 ∙ share

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Simultaneous Identification of Tweet Purpose and Position

Tweet classification has attracted considerable attention recently. Most...
12/24/2019 ∙ by Rahul Radhakrishnan Iyer, et al. ∙ 0 ∙ share

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An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text

With the increasing growth of social media, people have started relying ...
12/13/2019 ∙ by Rahul Radhakrishnan Iyer, et al. ∙ 17 ∙ share

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Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds

Sentiment Analysis of microblog feeds has attracted considerable interes...
12/11/2019 ∙ by Rahul Radhakrishnan Iyer, et al. ∙ 11 ∙ share

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Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case

Collision avoidance for multirobot systems is a well studied problem. Re...
11/20/2019 ∙ by Jaskaran Grover, et al. ∙ 0 ∙ share

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MAME : Model-Agnostic Meta-Exploration

Meta-Reinforcement learning approaches aim to develop learning procedure...
11/11/2019 ∙ by Swaminathan Gurumurthy, et al. ∙ 20 ∙ share

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Behavior Mixing with Minimum Global and Subgroup Connectivity Maintenance for Large-Scale Multi-Robot Systems

In many cases the multi-robot systems are desired to execute simultaneou...
10/03/2019 ∙ by Wenhao Luo, et al. ∙ 0 ∙ share

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Learning Transferable Cooperative Behavior in Multi-Agent Teams

While multi-agent interactions can be naturally modeled as a graph, the ...
06/04/2019 ∙ by Akshat Agarwal, et al. ∙ 0 ∙ share

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Active Learning with Gaussian Processes for High Throughput Phenotyping

A looming question that must be solved before robotic plant phenotyping ...
01/21/2019 ∙ by Sumit Kumar, et al. ∙ 0 ∙ share

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Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning

In the real world, agents often have to operate in situations with incom...
09/24/2018 ∙ by Akshat Agarwal, et al. ∙ 0 ∙ share

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Object-sensitive Deep Reinforcement Learning

Deep reinforcement learning has become popular over recent years, showin...
09/17/2018 ∙ by Yuezhang Li, et al. ∙ 2 ∙ share

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Transparency and Explanation in Deep Reinforcement Learning Neural Networks

Autonomous AI systems will be entering human society in the near future ...
09/17/2018 ∙ by Rahul Iyer, et al. ∙ 0 ∙ share

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Towards Better Interpretability in Deep Q-Networks

Deep reinforcement learning techniques have demonstrated superior perfor...
09/15/2018 ∙ by Raghuram Mandyam Annasamy, et al. ∙ 18 ∙ share

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Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark

Research in deep reinforcement learning (RL) has coalesced around improv...
09/06/2018 ∙ by Akshat Agarwal, et al. ∙ 0 ∙ share

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Community Regularization of Visually-Grounded Dialog

The task of conducting visually grounded dialog involves learning goal-o...
08/10/2018 ∙ by Akshat Agarwal, et al. ∙ 0 ∙ share

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Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting

The task of visually grounded dialog involves learning goal-oriented coo...
08/10/2018 ∙ by Akshat Agarwal, et al. ∙ 0 ∙ share

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Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration

Q-Ensembles are a model-free approach where input images are fed into di...
06/12/2018 ∙ by Sreecharan Sankaranarayanan, et al. ∙ 0 ∙ share

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Learning Time-Sensitive Strategies in Space Fortress

Although there has been remarkable progress and impressive performance o...
05/17/2018 ∙ by Akshat Agarwal, et al. ∙ 0 ∙ share

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Using Information Invariants to Compare Swarm Algorithms and General Multi-Robot Algorithms: A Technical Report

Robotic swarms are decentralized multi-robot systems whose members use l...
02/25/2018 ∙ by Gabriel Arpino, et al. ∙ 0 ∙ share

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Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification

Due to the lack of structured knowledge applied in learning distributed ...
07/27/2016 ∙ by Yuezhang Li, et al. ∙ 0 ∙ share

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Joint Embeddings of Hierarchical Categories and Entities

Due to the lack of structured knowledge applied in learning distributed ...
05/12/2016 ∙ by Yuezhang Li, et al. ∙ 0 ∙ share

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Katia Sycara

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