Fabio Pardo

According to our database, Fabio Pardo authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Vision-Language Models as a Source of Rewards.

Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang

CoRR, 2023

2021

OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion.

Vittorio La Barbera, Fabio Pardo, Yuval Tassa, Monica Daley, Christopher Richards, Petar Kormushev, John Hutchinson

CoRR, 2021

Ivy: Templated Deep Learning for Inter-Framework Portability.

Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark

CoRR, 2021

2020

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

Fabio Pardo

CoRR, 2020

CoMic: Complementary Task Learning & Mimicry for Reusable Skills.

Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Fabio Pardo, Vitaly Levdik, Petar Kormushev

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

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

Fabio Pardo, Vitaly Levdik, Petar Kormushev

CoRR, 2018

Goal-oriented Trajectories for Efficient Exploration.

Fabio Pardo, Vitaly Levdik, Petar Kormushev

CoRR, 2018

Time Limits in Reinforcement Learning.

Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev

Proceedings of the 35th International Conference on Machine Learning, 2018

Action Branching Architectures for Deep Reinforcement Learning.

Arash Tavakoli, Fabio Pardo, Petar Kormushev

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018