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Deep Reinforcement Learning for Navigation in AAA Video Games

Nov 09, 2020
Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff

* Accepted to the NeurIPS 2020 Challenges of Real-World RL workshop 

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TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?

Jul 06, 2020
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau

* Presented at the Theoretical Foundations of Reinforcement Learning workshop at ICML 2020 

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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Jan 31, 2020
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau

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Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

Jun 09, 2019
Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat

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Separating value functions across time-scales

Feb 08, 2019
Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau

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TarMAC: Targeted Multi-Agent Communication

Oct 26, 2018
Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael Rabbat, Joelle Pineau

* 10 pages, 4 figures, 4 tables 

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Randomized Value Functions via Multiplicative Normalizing Flows

Oct 22, 2018
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent

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Reward Estimation for Variance Reduction in Deep Reinforcement Learning

May 09, 2018
Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent Francois-Lavet, Joelle Pineau

* Accepted to the International Conference on Learning Representations (ICLR) 2018 Workshop Track 

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Hybrid Reward Architecture for Reinforcement Learning

Nov 28, 2017
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang

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Multi-Advisor Reinforcement Learning

Nov 14, 2017
Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen

* Submitted at ICLR2018 

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Separation of Concerns in Reinforcement Learning

Mar 28, 2017
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche

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