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05/19/2023
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation
Multi-robot navigation is the task of finding trajectories for a team of...
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04/24/2023
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning
The hierarchy of global and local planners is one of the most commonly u...
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04/18/2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
This study presents a benchmark for evaluating action-constrained reinfo...
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03/02/2023
Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains
Machine learning (ML) plays a crucial role in assessing traversability f...
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01/26/2023
Periodic Multi-Agent Path Planning
Multi-agent path planning (MAPP) is the problem of planning collision-fr...
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01/24/2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
Multi-agent path planning (MAPP) in continuous spaces is a challenging p...
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12/08/2021
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
We present ShinRL, an open-source library specialized for the evaluation...
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09/16/2020
Path Planning using Neural A* Search
We present Neural A*, a novel data-driven search algorithm for path plan...
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08/18/2020
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
This paper addresses the problem of decentralized learning to achieve a ...
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03/20/2020
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation
This work presents a deep reinforcement learning framework for interacti...
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11/22/2019
Crowd Density Forecasting by Modeling Patch-based Dynamics
Forecasting human activities observed in videos is a long-standing chall...
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09/28/2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
Transfer reinforcement learning (RL) aims at improving learning efficien...
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05/23/2019
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data
This work addresses a new problem of learning generative adversarial net...
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05/17/2019
Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks
A decentralized learning mechanism, Federated Learning (FL), has attract...
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03/04/2019
Modeling Social Group Communication with Multi-Agent Imitation Learning
In crowded social scenarios with a myriad of external stimuli, human bra...
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04/23/2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
We envision a mobile edge computing (MEC) framework for machine learning...
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11/30/2017
Future Person Localization in First-Person Videos
We present a new task that predicts future locations of people observed ...
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04/07/2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
We propose a privacy-preserving framework for learning visual classifier...
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06/15/2016