Improving Scalability of Reinforcement Learning by Separation of Concerns. - Harm van Seijen; Mehdi Fatemi; Joshua Romoff; Romain Laroche (CoRR, 2016)

Hybrid Reward Architecture for Reinforcement Learning. - Harm van Seijen; Mehdi Fatemi; Romain Laroche; Joshua Romoff; Tavian Barnes; Jeffrey Tsang (NIPS, 2017)

Multi-Advisor Reinforcement Learning. - Romain Laroche; Mehdi Fatemi; Joshua Romoff; Harm van Seijen (CoRR, 2017)

Reward Estimation for Variance Reduction in Deep Reinforcement Learning. - Joshua Romoff; Alexandre Piché; Peter Henderson 002; Vincent François-Lavet; Joelle Pineau (ICLR (Workshop), 2018)

Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. - Peter Henderson 002; Joshua Romoff; Joelle Pineau (CoRR, 2018)

TarMAC: Targeted Multi-Agent Communication. - Abhishek Das; Théophile Gervet; Joshua Romoff; Dhruv Batra; Devi Parikh; Mike Rabbat; Joelle Pineau (ICML, 2019)

Separable value functions across time-scales. - Joshua Romoff; Peter Henderson 002; Ahmed Touati; Yann Ollivier; Joelle Pineau; Emma Brunskill (ICML, 2019)

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. - Mahmoud Assran; Joshua Romoff; Nicolas Ballas; Joelle Pineau; Mike Rabbat (NeurIPS, 2019)

Randomized Value Functions via Multiplicative Normalizing Flows. - Ahmed Touati; Harsh Satija; Joshua Romoff; Joelle Pineau; Pascal Vincent (UAI, 2019)

Separating value functions across time-scales. - Joshua Romoff; Peter Henderson 002; Ahmed Touati; Yann Ollivier; Emma Brunskill; Joelle Pineau (CoRR, 2019)

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. - Peter Henderson 002; Jieru Hu; Joshua Romoff; Emma Brunskill; Dan Jurafsky; Joelle Pineau (CoRR, 2020)

TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? - Joshua Romoff; Peter Henderson 002; David Kanaa; Emmanuel Bengio; Ahmed Touati; Pierre-Luc Bacon; Joelle Pineau (CoRR, 2020)

TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? - Joshua Romoff; Peter Henderson 002; David Kanaa; Emmanuel Bengio; Ahmed Touati; Pierre-Luc Bacon; Joelle Pineau (AAMAS, 2021)

Deep Reinforcement Learning for Navigation in AAA Video Games. - Eloi Alonso; Maxim Peter; David Goumard; Joshua Romoff (IJCAI, 2021)

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment. - Edward Beeching; Maxim Peter; Philippe Marcotte; Jilles Dibangoye; Olivier Simonin 001; Joshua Romoff; Christian Wolf 001 (CoRR, 2021)

Direct Behavior Specification via Constrained Reinforcement Learning. - Julien Roy; Roger Girgis; Joshua Romoff; Pierre-Luc Bacon; Christopher J. Pal (ICML, 2022)

Learning Computational Efficient Bots with Costly Features. - Anthony Kobanda; Valliappan C. A.; Joshua Romoff; Ludovic Denoyer (CoG, 2023)

Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play. - Daniel Bairamian; Philippe Marcotte; Joshua Romoff; Gabriel Robert; Derek Nowrouzezahrai (AAMAS, 2024)

Improving Intrinsic Exploration by Creating Stationary Objectives. - Roger Creus Castanyer; Joshua Romoff; Glen Berseth (ICLR, 2024)