Joshua Romoff

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Agent Communication

Reinforcement Learning

Variance Reduction

Policy Gradient

Top Venues

Publications

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