| Towards the systematic reporting of the energy and carbon footprints of machine learning P Henderson, J Hu, J Romoff, E Brunskill, D Jurafsky, J Pineau Journal of Machine Learning Research 21 (248), 1-43, 2020 | 474 | 2020 |
| Tarmac: Targeted multi-agent communication A Das, T Gervet, J Romoff, D Batra, D Parikh, M Rabbat, J Pineau International Conference on machine learning, 1538-1546, 2019 | 401 | 2019 |
| Hybrid reward architecture for reinforcement learning H Van Seijen, M Fatemi, J Romoff, R Laroche, T Barnes, J Tsang Advances in Neural Information Processing Systems 30, 2017 | 332* | 2017 |
| Reward estimation for variance reduction in deep reinforcement learning J Romoff, P Henderson, A Piché, V Francois-Lavet, J Pineau Conference on Robot Learning, 674-699, 2018 | 51 | 2018 |
| Where did my optimum go?: An empirical analysis of gradient descent optimization in policy gradient methods P Henderson, J Romoff, J Pineau arXiv preprint arXiv:1810.02525, 2018 | 45* | 2018 |
| Deep reinforcement learning for navigation in aaa video games E Alonso, M Peter, D Goumard, J Romoff Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 43 | 2021 |
| Randomized value functions via multiplicative normalizing flows A Touati, H Satija, J Romoff, J Pineau, P Vincent Uncertainty in Artificial Intelligence, 422-432, 2020 | 42 | 2020 |
| Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning M Assran, J Romoff, N Ballas, J Pineau, M Rabbat Advances in Neural Information Processing Systems, 13299-13309, 2019 | 34 | 2019 |
| Direct behavior specification via constrained reinforcement learning J Roy, R Girgis, J Romoff, PL Bacon, C Pal arXiv preprint arXiv:2112.12228, 2021 | 31 | 2021 |
| Multi-advisor reinforcement learning R Laroche, M Fatemi, J Romoff, H van Seijen arXiv preprint arXiv:1704.00756, 2017 | 28 | 2017 |
| Separation of concerns in reinforcement learning H van Seijen, M Fatemi, J Romoff, R Laroche arXiv preprint arXiv:1612.05159, 2016 | 28* | 2016 |
| Separating value functions across time-scales J Romoff, P Henderson, A Touati, E Brunskill, J Pineau, Y Ollivier International Conference on Machine Learning, 5468-5477, 2019 | 26 | 2019 |
| TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? J Romoff, P Henderson, D Kanaa, E Bengio, A Touati, PL Bacon, J Pineau Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 10* | 2021 |
| Graph augmented deep reinforcement learning in the gamerland3d environment E Beeching, M Peter, P Marcotte, J Debangoye, O Simonin, J Romoff, ... arXiv preprint arXiv:2112.11731, 2021 | 9 | 2021 |
| Deep conditional multi-task learning in atari J Romoff, E Bengio, J Pineau Workshop on Abstraction in Reinforcement Learning at ICML, 2016 | 5 | 2016 |
| Improving Intrinsic Exploration by Creating Stationary Objectives RC Castanyer, J Romoff, G Berseth arXiv preprint arXiv:2310.18144, 2023 | 2 | 2023 |
| Learning Computational Efficient Bots with Costly Features A Kobanda, CA Valliappan, J Romoff, L Denoyer 2023 IEEE Conference on Games (CoG), 1-8, 2023 | 2 | 2023 |
| Decomposing the Bellman Equation in Reinforcement Learning J Romoff McGill University (Canada), 2021 | 2 | 2021 |
| Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play D Bairamian, P Marcotte, J Romoff, G Robert, D Nowrouzezahrai arXiv preprint arXiv:2311.17190, 2023 | | 2023 |
| About the attractor phenomenon in decomposed reinforcement learning R Laroche, M Fatemi, J Romoff, H van Seijen | | |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; Mila在 cs.mcgill.ca 的电子邮件经过验证
