Fabio Pardo

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Imperial College London

I am a fourth-year PhD student in the Robot Intelligence Lab at Imperial College London.

My main research focuses on Deep Reinforcement Learning.

https://fabiopardo.github.io/

Featured Co-authors

Petar Kormushev
17 publications
Arash Tavakoli
5 publications
Vitaly Levdik
3 publications

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

Being able to reach any desired location in the environment can be a val...
11/24/2020 ∙ by Fabio Pardo, et al. ∙ 0 ∙ share

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CoMic: Complementary Task Learning & Mimicry for Reusable Skills

Learning to control complex bodies and reuse learned behaviors is a long...
11/24/2020 ∙ by Fabio Pardo, et al. ∙ 0 ∙ share

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Time Limits in Reinforcement Learning

In reinforcement learning, it is common to let an agent interact for a f...
11/24/2020 ∙ by Fabio Pardo, et al. ∙ 0 ∙ share

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Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking

Deep reinforcement learning has been one of the fastest growing fields o...
11/15/2020 ∙ by Fabio Pardo, et al. ∙ 79 ∙ share

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Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning

Goal-oriented learning has become a core concept in reinforcement learni...
10/06/2018 ∙ by Fabio Pardo, et al. ∙ 10 ∙ share

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Goal-oriented Trajectories for Efficient Exploration

Exploration is a difficult challenge in reinforcement learning and even ...
07/05/2018 ∙ by Fabio Pardo, et al. ∙ 0 ∙ share

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Action Branching Architectures for Deep Reinforcement Learning

Discrete-action algorithms have been central to numerous recent successe...
11/24/2017 ∙ by Arash Tavakoli, et al. ∙ 0 ∙ share

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