Fabio Pardo
Title
Cited by
Cited by
Year
Action branching architectures for deep reinforcement learning
A Tavakoli, F Pardo, P Kormushev
AAAI Conference on Artificial Intelligence, 2018
742018
Time limits in reinforcement learning
F Pardo, A Tavakoli, V Levdik, P Kormushev
International Conference on Machine Learning, 2018
502018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
F Pardo, V Levdik, P Kormushev
AAAI Conference on Artificial Intelligence, 2020
7*2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking
F Pardo
arXiv preprint arXiv:2011.07537, 2020
32020
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
L Hasenclever, F Pardo, R Hadsell, N Heess, J Merel
International Conference on Machine Learning, 2020
32020
Goal-oriented trajectories for efficient exploration
F Pardo, V Levdik, P Kormushev
arXiv preprint arXiv:1807.02078, 2018
22018
Ivy: Templated deep learning for inter-framework portability
D Lenton, F Pardo, F Falck, S James, R Clark
arXiv preprint arXiv:2102.02886, 2021
12021
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