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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...
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CoMic: Complementary Task Learning & Mimicry for Reusable Skills
Learning to control complex bodies and reuse learned behaviors is a long...
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Time Limits in Reinforcement Learning
In reinforcement learning, it is common to let an agent interact for a f...
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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...
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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...
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Goal-oriented Trajectories for Efficient Exploration
Exploration is a difficult challenge in reinforcement learning and even ...
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Action Branching Architectures for Deep Reinforcement Learning
Discrete-action algorithms have been central to numerous recent successe...
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Fabio Pardo

I am a fourth-year PhD student in the Robot Intelligence Lab at Imperial College London.
My main research focuses on Deep Reinforcement Learning.