Fabio Pardo

发表

CoMic: Complementary Task Learning & Mimicry for Reusable Skills

Raia Hadsell, Leonard Hasenclever, Nicolas Heess, 2020, ICML.

Goal-oriented Trajectories for Efficient Exploration pdf

Vitaly Levdik, Petar Kormushev, Fabio Pardo, 2018, ArXiv.

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

Fabio Pardo, 2020, ArXiv.

Action Branching Architectures for Deep Reinforcement Learning

Arash Tavakoli, Petar Kormushev, Fabio Pardo, 2017, AAAI.

New Software and Platforms - Software Platforms

Olivier Mangin, Pierre Rouanet, Matthieu Lapeyre, 2014 .

Time Limits in Reinforcement Learning

Vitaly Levdik, Arash Tavakoli, Petar Kormushev, 2017, ICML.

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

Vitaly Levdik, Petar Kormushev, Fabio Pardo, 2018, ArXiv.

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

Vitaly Levdik, Petar Kormushev, Fabio Pardo, 2020, AAAI.

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

Yuval Tassa, Fabio Pardo, Petar Kormushev, 2021, ArXiv.

Ivy: Templated Deep Learning for Inter-Framework Portability pdf

Fabian Falck, Ronald Clark, Fabio Pardo, 2021, ArXiv.

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

Fabio Pardo, Fabio Pardo, 2020, ArXiv.