Affordances as Transferable Knowledge for Planning Agents. - Gabriel Barth-Maron; David Abel; James MacGlashan; Stefanie Tellex (AAAI Fall Symposia, 2014)

Goal-Based Action Priors. - David Abel; D. Ellis Hershkowitz; Gabriel Barth-Maron; Stephen Brawner; Kevin O'Farrell; James MacGlashan; Stefanie Tellex (ICAPS, 2015)

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation. - Ivaylo Popov; Nicolas Heess; Timothy P. Lillicrap; Roland Hafner; Gabriel Barth-Maron; Matej Vecerík; Thomas Lampe; Yuval Tassa; Tom Erez; Martin A. Riedmiller (CoRR, 2017)

Distributed Distributional Deterministic Policy Gradients. - Gabriel Barth-Maron; Matthew W. Hoffman; David Budden; Will Dabney; Dan Horgan; Dhruva TB; Alistair Muldal; Nicolas Heess; Timothy P. Lillicrap (ICLR (Poster), 2018)

Distributed Prioritized Experience Replay. - Dan Horgan; John Quan; David Budden; Gabriel Barth-Maron; Matteo Hessel; Hado van Hasselt; David Silver 001 (ICLR (Poster), 2018)

Observe and Look Further: Achieving Consistent Performance on Atari. - Tobias Pohlen; Bilal Piot; Todd Hester; Mohammad Gheshlaghi Azar; Dan Horgan; David Budden; Gabriel Barth-Maron; Hado van Hasselt; John Quan; Mel Vecerík; Matteo Hessel; Rémi Munos; et al. (CoRR, 2018)

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. - Tom Le Paine; Sergio Gomez Colmenarejo; Ziyu Wang 001; Scott E. Reed; Yusuf Aytar; Tobias Pfaff; Matthew W. Hoffman; Gabriel Barth-Maron; Serkan Cabi; David Budden; Nando de Freitas (CoRR, 2018)

Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. - Çaglar Gülçehre; Tom Le Paine; Bobak Shahriari; Misha Denil; Matt Hoffman 001; Hubert Soyer; Richard Tanburn; Steven Kapturowski; Neil C. Rabinowitz; Duncan Williams; Gabriel Barth-Maron; Ziyu Wang 001; et al. (ICLR, 2020)

Acme: A Research Framework for Distributed Reinforcement Learning. - Matt Hoffman 001; Bobak Shahriari; John Aslanides; Gabriel Barth-Maron; Feryal M. P. Behbahani; Tamara Norman; Abbas Abdolmaleki; Albin Cassirer; Fan Yang; Kate Baumli; Sarah Henderson; Alexander Novikov 001; et al. (CoRR, 2020)

Reverb: A Framework For Experience Replay. - Albin Cassirer; Gabriel Barth-Maron; Eugene Brevdo; Sabela Ramos; Toby Boyd; Thibault Sottiaux; Manuel Kroiss (CoRR, 2021)

Launchpad: A Programming Model for Distributed Machine Learning Research. - Fan Yang; Gabriel Barth-Maron; Piotr Stanczyk; Matthew W. Hoffman; Siqi Liu 002; Manuel Kroiss; Aedan Pope; Alban Rrustemi (CoRR, 2021)

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. - Srivatsan Krishnan; Max Lam; Sharad Chitlangia; Zishen Wan; Gabriel Barth-Maron; Aleksandra Faust; Vijay Janapa Reddi (Trans. Mach. Learn. Res., 2022)

A Generalist Agent. - Scott E. Reed; Konrad Zolna; Emilio Parisotto; Sergio Gómez Colmenarejo; Alexander Novikov 001; Gabriel Barth-Maron; Mai Gimenez; Yury Sulsky; Jackie Kay; Jost Tobias Springenberg; Tom Eccles; Jake Bruce; et al. (Trans. Mach. Learn. Res., 2022)