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09/19/2023
Explaining Agent Behavior with Large Language Models
Intelligent agents such as robots are increasingly deployed in real-worl...
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07/03/2023
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
The ability to model the mental states of others is crucial to human soc...
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07/02/2023
Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree
Combined Target-Assignment and Path-Finding problem (TAPF) requires simu...
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06/28/2023
Reconfigurable Robot Control Using Flexible Coupling Mechanisms
Reconfigurable robot swarms are capable of connecting with each other to...
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06/21/2023
Introspective Action Advising for Interpretable Transfer Learning
Transfer learning can be applied in deep reinforcement learning to accel...
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05/25/2023
Characterizing Out-of-Distribution Error via Optimal Transport
Out-of-distribution (OOD) data poses serious challenges in deployed mach...
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03/03/2023
Graph-based Simultaneous Coverage and Exploration Planning for Fast Multi-robot Search
In large unknown environments, search operations can be much more time-e...
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02/28/2023
On the Role of Emergent Communication for Social Learning in Multi-Agent Reinforcement Learning
Explicit communication among humans is key to coordinating and learning....
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02/23/2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
Multi-agent robotic systems are increasingly operating in real-world env...
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02/10/2023
Predicting Out-of-Distribution Error with Confidence Optimal Transport
Out-of-distribution (OOD) data poses serious challenges in deployed mach...
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01/09/2023
Distributed Multirobot Control for Non-Cooperative Herding
In this paper, we consider the problem of protecting a high-value area f...
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11/30/2022
Towards True Lossless Sparse Communication in Multi-Agent Systems
Communication enables agents to cooperate to achieve their goals. Learni...
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11/15/2022
Explainable Action Advising for Multi-Agent Reinforcement Learning
Action advising is a knowledge transfer technique for reinforcement lear...
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08/25/2022
Control Barrier Functions-based Semi-Definite Programs (CBF-SDPs): Robust Safe Control For Dynamic Systems with Relative Degree Two Safety Indices
In this draft article, we consider the problem of achieving safe control...
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06/05/2022
ARC – Actor Residual Critic for Adversarial Imitation Learning
Adversarial Imitation Learning (AIL) is a class of popular state-of-the-...
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06/03/2022
The Before, During, and After of Multi-Robot Deadlock
Collision avoidance for multirobot systems is a well-studied problem. Re...
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04/22/2022
Noncooperative Herding With Control Barrier Functions: Theory and Experiments
In this paper, we consider the problem of protecting a high-value unit f...
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02/27/2022
Configuration Control for Physical Coupling of Heterogeneous Robot Swarms
In this paper, we present a heterogeneous robot swarm system that can ph...
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02/06/2022
PuzzleBots: Physical Coupling of Robot Swarms
Robot swarms have been shown to improve the ability of individual robots...
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01/26/2022
Probe-Based Interventions for Modifying Agent Behavior
Neural nets are powerful function approximators, but the behavior of a g...
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01/19/2022
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication
Communication enables agents to cooperate to achieve their goals. Learni...
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08/04/2021
Emergent Discrete Communication in Semantic Spaces
Neural agents trained in reinforcement learning settings can learn to co...
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07/31/2021
Learning Embeddings that Capture Spatial Semantics for Indoor Navigation
Incorporating domain-specific priors in search and navigation tasks has ...
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04/07/2021
Deep Interpretable Models of Theory of Mind For Human-Agent Teaming
When developing AI systems that interact with humans, it is essential to...
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03/10/2021
Hiding Leader's Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning
Leader-follower navigation is a popular class of multi-robot algorithms ...
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03/07/2021
Adaptive Agent Architecture for Real-time Human-Agent Teaming
Teamwork is a set of interrelated reasoning, actions and behaviors of te...
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12/18/2020
Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-Robot Systems
In this paper, we consider the dynamic multi-robot distribution problem ...
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11/15/2020
Predicting Human Strategies in Simulated Search and Rescue Task
In a search and rescue scenario, rescuers may have different knowledge o...
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11/08/2020
Feasible Region-based Identification Using Duality (Extended Version)
We consider the problem of estimating bounds on parameters representing ...
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09/29/2020
Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version)
This paper considers the problem of parameter identification for a multi...
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09/20/2020
Addressing reward bias in Adversarial Imitation Learning with neutral reward functions
Generative Adversarial Imitation Learning suffers from the fundamental p...
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08/18/2020
Learning Complex Multi-Agent Policies in Presence of an Adversary
In recent years, there has been some outstanding work on applying deep r...
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08/04/2020
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Recently, there has been increasing interest in transparency and interpr...
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07/06/2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
Multi agent strategies in mixed cooperative-competitive environments can...
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04/10/2020
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
Despite the recent developments in vision-related problems using deep ne...
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01/21/2020
Loss-annealed GAIL for sample efficient and stable Imitation Learning
Imitation learning is the problem of learning a policy from an expert po...
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12/24/2019
Simultaneous Identification of Tweet Purpose and Position
Tweet classification has attracted considerable attention recently. Most...
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12/13/2019
An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text
With the increasing growth of social media, people have started relying ...
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12/11/2019
Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds
Sentiment Analysis of microblog feeds has attracted considerable interes...
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11/20/2019
Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case
Collision avoidance for multirobot systems is a well studied problem. Re...
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11/11/2019
MAME : Model-Agnostic Meta-Exploration
Meta-Reinforcement learning approaches aim to develop learning procedure...
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10/03/2019
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...
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06/04/2019
Learning Transferable Cooperative Behavior in Multi-Agent Teams
While multi-agent interactions can be naturally modeled as a graph, the ...
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01/21/2019
Active Learning with Gaussian Processes for High Throughput Phenotyping
A looming question that must be solved before robotic plant phenotyping ...
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09/24/2018
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning
In the real world, agents often have to operate in situations with incom...
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09/17/2018
Object-sensitive Deep Reinforcement Learning
Deep reinforcement learning has become popular over recent years, showin...
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09/17/2018
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Autonomous AI systems will be entering human society in the near future ...
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09/15/2018
Towards Better Interpretability in Deep Q-Networks
Deep reinforcement learning techniques have demonstrated superior perfor...
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09/06/2018
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
Research in deep reinforcement learning (RL) has coalesced around improv...
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08/10/2018