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09/17/2023
A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches
Multipath TCP (MPTCP) has been widely used as an efficient way for commu...
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06/01/2022
Visual Navigation for Autonomous Vehicles: An Open-source Hands-on Robotics Course at MIT
This paper reports on the development, execution, and open-sourcing of a...
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02/14/2022
Motivating Physical Activity via Competitive Human-Robot Interaction
This project aims to motivate research in competitive human-robot intera...
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08/09/2021
Reachability Analysis of Neural Feedback Loops
Neural Networks (NNs) can provide major empirical performance improvemen...
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01/05/2021
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers
Neural Networks (NNs) can provide major empirical performance improvemen...
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10/31/2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
A fundamental challenge in multiagent reinforcement learning is to learn...
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10/01/2020
Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems
Neural networks (NNs) are now routinely implemented on systems that must...
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11/21/2019
Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections
This paper presents a novel incremental learning algorithm for pedestria...
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03/07/2019
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
Heterogeneous knowledge naturally arises among different agents in coope...
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06/25/2018
Context-Aware Pedestrian Motion Prediction In Urban Intersections
This paper presents a novel context-based approach for pedestrian motion...
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06/25/2018
