Leandro Parada

Leandro Parada

Imperial College London

H-index: 3

Europe-United Kingdom

About Leandro Parada

Leandro Parada, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Multi-robot control, Deep Reinforcement Learning, Cooperative control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning

A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios

Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation

Transferring multi-agent reinforcement learning policies for autonomous driving using sim-to-real

A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem

Leandro Parada Information

University

Position

___

Citations(all)

215

Citations(since 2020)

195

Cited By

94

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Leandro Parada Skills & Research Interests

Multi-robot control

Deep Reinforcement Learning

Cooperative control

Top articles of Leandro Parada

Title

Journal

Author(s)

Publication Date

Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning

Artificial Intelligence

Eduardo Candela

Olivier Doustaly

Leandro Parada

Felix Feng

Yiannis Demiris

...

2023/7/1

A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction

IEEE Transactions on Vehicular Technology

Simon Hu

Yin Ye

Qinru Hu

Xin Liu

Shaosheng Cao

...

2023/6/19

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios

Leandro Parada

Hanlin Tian

Jose Escribano

Panagiotis Angeloudis

2023/9/24

Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation

Transportmetrica A: Transport Science

Leandro Parada

Eduardo Candela

Luis Marques

Panagiotis Angeloudis

2023/8/12

Transferring multi-agent reinforcement learning policies for autonomous driving using sim-to-real

Eduardo Candela

Leandro Parada

Luis Marques

Tiberiu-Andrei Georgescu

Yiannis Demiris

...

2022/10/23

A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem

Elvin Ngu

Leandro Parada

Jose Javier Escribano Macias

Panagiotis Angeloudis

2021

See List of Professors in Leandro Parada University(Imperial College London)