Fabio Pardo - RankMe

14 papers A* 5Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. ICML Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein
2024	J	`jnl`	LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. CoRR Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein
2023	J	`jnl`	Vision-Language Models as a Source of Rewards. CoRR 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
2021	J	`jnl`	Ivy: Templated Deep Learning for Inter-Framework Portability. CoRR Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark
2021	J	`jnl`	OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion. CoRR Vittorio La Barbera, Fabio Pardo, Yuval Tassa, Monica Daley, Christopher Richards, Petar Kormushev, John R. Hutchinson
2020	A*	`conf`	CoMic: Complementary Task Learning & Mimicry for Reusable Skills. ICML Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel
2020	A*	`conf`	Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks. AAAI Fabio Pardo, Vitaly Levdik, Petar Kormushev
2020	J	`jnl`	Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking. CoRR Fabio Pardo
2018	A*	`conf`	Action Branching Architectures for Deep Reinforcement Learning. AAAI Arash Tavakoli, Fabio Pardo, Petar Kormushev
2018	J	`jnl`	Goal-oriented Trajectories for Efficient Exploration. CoRR Fabio Pardo, Vitaly Levdik, Petar Kormushev
2018	J	`jnl`	Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning. CoRR Fabio Pardo, Vitaly Levdik, Petar Kormushev
2018	A*	`conf`	Time Limits in Reinforcement Learning. ICML Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev
2017	J	`jnl`	Action Branching Architectures for Deep Reinforcement Learning. CoRR Arash Tavakoli, Fabio Pardo, Petar Kormushev
2017	J	`jnl`	Time Limits in Reinforcement Learning. CoRR Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev