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06/24/2023
Differentially Private Decentralized Deep Learning with Consensus Algorithms
Cooperative decentralized deep learning relies on direct information exc...
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06/24/2023
Generalised f-Mean Aggregation for Graph Neural Networks
Graph Neural Network (GNN) architectures are defined by their implementa...
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05/18/2023
Constrained Environment Optimization for Prioritized Multi-Agent Navigation
Traditional approaches to the design of multi-agent navigation algorithm...
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05/03/2023
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
Evolutionary science provides evidence that diversity confers resilience...
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03/08/2023
Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation
Control Barrier Functions (CBFs) have been applied to provide safety gua...
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03/03/2023
POPGym: Benchmarking Partially Observable Reinforcement Learning
Real world applications of Reinforcement Learning (RL) are often partial...
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02/24/2023
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning
The problem of permutation-invariant learning over set representations i...
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01/20/2023
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
Conflict-Based Search is one of the most popular methods for multi-agent...
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01/17/2023
Heterogeneous Multi-Robot Reinforcement Learning
Cooperative multi-robot tasks can benefit from heterogeneity in the robo...
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10/30/2022
Decentralized Channel Management in WLANs with Graph Neural Networks
Wireless local area networks (WLANs) manage multiple access points (APs)...
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09/22/2022
Environment Optimization for Multi-Agent Navigation
Traditional approaches to the design of multi-agent navigation algorithm...
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08/01/2022
Learning to Navigate using Visual Sensor Networks
We consider the problem of navigating a mobile robot towards a target in...
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07/10/2022
On the properties of path additions for traffic routing
In this paper we investigate the impact of path additions to transport n...
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07/07/2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
While many multi-robot coordination problems can be solved optimally by ...
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06/19/2022
A Critical Review of Communications in Multi-Robot Systems
Purpose of Review. This review summarizes the broad roles that communica...
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05/25/2022
QGNN: Value Function Factorisation with Graph Neural Networks
In multi-agent reinforcement learning, the use of a global objective is ...
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11/02/2021
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies
Graph Neural Networks (GNNs) are a paradigm-shifting neural architecture...
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10/11/2021
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Solutions to the Traveling Salesperson Problem (TSP) have practical appl...
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09/29/2021
Explanation-Aware Experience Replay in Rule-Dense Environments
Human environments are often regulated by explicit and complex rulesets....
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09/25/2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Robustness is key to engineering, automation, and science as a whole. Ho...
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07/26/2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
Many multi-robot planning problems are burdened by the curse of dimensio...
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06/30/2021
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution
Fairness is commonly seen as a property of the global outcome of a syste...
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06/27/2021
Graph Convolutional Memory for Deep Reinforcement Learning
Solving partially-observable Markov decision processes (POMDPs) is criti...
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05/18/2021
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
In this paper, we develop a learning-based approach for decentralized su...
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03/29/2021
Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties
We consider a pursuit-evasion problem with a heterogeneous team of multi...
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03/24/2021
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture
Recent work in the multi-agent domain has shown the promise of Graph Neu...
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03/03/2021
Learning to Fly – a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Robotic simulators are crucial for academic research and education as we...
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02/11/2021
Fair Robust Assignment using Redundancy
We study the consideration of fairness in redundant assignment for multi...
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12/29/2020
Decentralized Control with Graph Neural Networks
Dynamical systems consisting of a set of autonomous agents face the chal...
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12/01/2020
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication
In this paper, we consider the problem of providing robustness to advers...
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11/26/2020
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
The domains of transport and logistics are increasingly relying on auton...
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08/06/2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
Many real-world problems require the coordination of multiple autonomous...
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05/11/2020
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Path planning for mobile robots in large dynamic environments is a chall...
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05/11/2020
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic
Interactions between road users are both highly non-linear and profoundl...
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12/12/2019
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Efficient and collision-free navigation in multi-robot systems is fundam...
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11/26/2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
Autonomous driving promises to transform road transport. Multi-vehicle a...
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11/22/2019
Culture-Based Explainable Human-Agent Deconfliction
Law codes and regulations help organise societies for centuries, and as ...
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09/23/2019
An Adversarial Approach to Private Flocking in Mobile Robot Teams
Privacy is an important facet of defence against adversaries. In this le...
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08/06/2019
Multi-Robot Path Deconfliction through Prioritization by Path Prospects
This work deals with the problem of planning conflict-free paths for mob...
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02/16/2019
A Fleet of Miniature Cars for Experiments in Cooperative Driving
We introduce a unique experimental testbed that consists of a fleet of 1...
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10/06/2018
Redundant Robot Assignment on Graphs with Uncertain Edge Costs
We provide a framework for the assignment of multiple robots to goal loc...
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05/09/2018
Graph Neural Networks for Learning Robot Team Coordination
This paper shows how Graph Neural Networks can be used for learning dist...
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04/13/2018