Leandro Parada

Leandro Parada

Doctoral Researcher

Imperial College London

Leandro Parada is a PhD student at the Centre for Transport Studies (CTS) since 2020, and a member of the Transport Systems and Logistics Laboratory. His research focuses on developing multi-agent learning algorithms for robotic transportation systems.

Leandro holds a Mechanical Engineering degree and an MSc in Industrial Engineering, both from Universidad de Concepción. Following his studies worked as an Management Consultant for 4 years, developing and implementing Decision Support Systems for the Logistics, Healthcare and Energy industries.

Interests
  • Multi-Agent Reinforcement Learning
  • Robotics
Education

  • MSc in Indrustial Engineering, 2016

    Universidad de Concepción

  • Dipl in Mechanical Engineering, 2015

    Universidad de Concepción

Preprints

  1. Risk-aware Controller for Autonomous Vehicles using Model-based Collision Prediction and Reinforcement Learning. In review. Preprint. Cite
  2. Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Reinforcement Learning. In review. Preprint. Cite

Conference Papers

  1. (2022). Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). PDF Cite DOI
  2. (2021). A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem. Transportation Research Board 101st Annual Meeting (TRBAM 2022). Cite