Katia Sycara

is this you? claim profile

∙ 0 followers
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.

MAME : Model-Agnostic Meta-Exploration

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it

Katia Sycara

Featured Co-authors

Zhiting Hu

Mike Lewis

Changliu Liu

Rahul Radhakrishnan Iyer

Tian Tian

Sumit Kumar

Yuezhang Li

Akshat Agarwal

Swaminathan Gurumurthy

Rahul Iyer

Timothy Verstynen

MAME : Model-Agnostic Meta-Exploration

Towards Better Interpretability in Deep Q-Networks

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

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

Loss-annealed GAIL for sample efficient and stable Imitation Learning

Object-sensitive Deep Reinforcement Learning

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

Joint Embeddings of Hierarchical Categories and Entities

Learning Time-Sensitive Strategies in Space Fortress

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

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

Transparency and Explanation in Deep Reinforcement Learning Neural Networks

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

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

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

Active Learning with Gaussian Processes for High Throughput Phenotyping

Community Regularization of Visually-Grounded Dialog

Learning Transferable Cooperative Behavior in Multi-Agent Teams

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

Simultaneous Identification of Tweet Purpose and Position

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