Joshua Romoff - RankMe

31 papers A* 6A 3C 1Misc 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing the Feasibility of Selective Instrumentation for Runtime Code Coverage in Large C++ Game Engines. CoRR Ian Gauk, Doriane Olewicki, Joshua Romoff, Cor-Paul Bezemer
2024	A*	`conf`	Improving Intrinsic Exploration by Creating Stationary Objectives. ICLR Roger Creus Castanyer, Joshua Romoff, Glen Berseth
2024	A	`conf`	Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play. AAMAS Daniel Bairamian, Philippe Marcotte, Joshua Romoff, Gabriel Robert, Derek Nowrouzezahrai
2023	J	`jnl`	Improving Intrinsic Exploration by Creating Stationary Objectives. CoRR Roger Creus Castanyer, Joshua Romoff, Glen Berseth
2023	C	`conf`	Learning Computational Efficient Bots with Costly Features. CoG Anthony Kobanda, Valliappan C. A., Joshua Romoff, Ludovic Denoyer
2023	J	`jnl`	Learning Computational Efficient Bots with Costly Features. CoRR Anthony Kobanda, Valliappan C. A., Joshua Romoff, Ludovic Denoyer
2023	J	`jnl`	Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play. CoRR Daniel Bairamian, Philippe Marcotte, Joshua Romoff, Gabriel Robert, Derek Nowrouzezahrai
2022	A*	`conf`	Direct Behavior Specification via Constrained Reinforcement Learning. ICML Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal
2021	A*	`conf`	Deep Reinforcement Learning for Navigation in AAA Video Games. IJCAI Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff
2021	J	`jnl`	Direct Behavior Specification via Constrained Reinforcement Learning. CoRR Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal
2021	J	`jnl`	Graph augmented Deep Reinforcement Learning in the GameRLand3D environment. CoRR Edward Beeching, Maxim Peter, Philippe Marcotte, Jilles Dibangoye, Olivier Simonin, Joshua Romoff, Christian Wolf
2021	A	`conf`	TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? AAMAS Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
2020	J	`jnl`	Deep Reinforcement Learning for Navigation in AAA Video Games. CoRR Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff
2020	J	`jnl`	TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
2020	J	`jnl`	Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. CoRR Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau
2019	A*	`conf`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. NeurIPS Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	J	`jnl`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. CoRR Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	A	`conf`	Randomized Value Functions via Multiplicative Normalizing Flows. UAI Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
2019	A*	`conf`	Separable value functions across time-scales. ICML Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill
2019	J	`jnl`	Separating value functions across time-scales. CoRR Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau
2019	A*	`conf`	TarMAC: Targeted Multi-Agent Communication. ICML Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, Joelle Pineau
2018	J	`jnl`	Randomized Value Functions via Multiplicative Normalizing Flows. CoRR Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
2018	Misc	`conf`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRL Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet, Joelle Pineau
2018	—	`conf`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. ICLR (Workshop) Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau
2018	J	`jnl`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRR Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau
2018	J	`jnl`	TarMAC: Targeted Multi-Agent Communication. CoRR Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael G. Rabbat, Joelle Pineau
2018	J	`jnl`	Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. CoRR Peter Henderson, Joshua Romoff, Joelle Pineau
2017	—	`conf`	Hybrid Reward Architecture for Reinforcement Learning. NIPS Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang
2017	J	`jnl`	Hybrid Reward Architecture for Reinforcement Learning. CoRR Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
2017	J	`jnl`	Multi-Advisor Reinforcement Learning. CoRR Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen
2016	J	`jnl`	Improving Scalability of Reinforcement Learning by Separation of Concerns. CoRR Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche