| Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents MC Machado, MG Bellemare, E Talvitie, J Veness, M Hausknecht, ... Journal of Artificial Intelligence Research 61, 523-562, 2018 | 391 | 2018 |
| A laplacian framework for option discovery in reinforcement learning MC Machado, MG Bellemare, M Bowling Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 205 | 2017 |
| State of the art control of atari games using shallow reinforcement learning Y Liang, MC Machado, E Talvitie, M Bowling Proceedings of the 2016 International Conference on Autonomous Agents …, 2016 | 116 | 2016 |
| Autonomous navigation of stratospheric balloons using reinforcement learning MG Bellemare, S Candido, PS Castro, J Gong, MC Machado, S Moitra, ... Nature 588 (7836), 77-82, 2020 | 107 | 2020 |
| Generalization and Regularization in DQN J Farebrother, MC Machado, M Bowling arXiv preprint arXiv:1810.00123, 2018 | 101 | 2018 |
| Eigenoption Discovery through the Deep Successor Representation MC Machado, C Rosenbaum, X Guo, M Liu, G Tesauro, M Campbell arXiv preprint arXiv:1710.11089, 2017 | 97 | 2017 |
| Count-based exploration with the successor representation MC Machado, MG Bellemare, M Bowling Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5125-5133, 2020 | 96 | 2020 |
| True online temporal-difference learning H Van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton The Journal of Machine Learning Research 17 (1), 5057-5096, 2016 | 93 | 2016 |
| On Bonus Based Exploration Methods In The Arcade Learning Environment AA Taiga, W Fedus, MC Machado, A Courville, MG Bellemare | 59* | 2020 |
| Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning R Agarwal, MC Machado, PS Castro, MG Bellemare arXiv preprint arXiv:2101.05265, 2021 | 58 | 2021 |
| Player modeling: Towards a common taxonomy MC Machado, EPC Fantini, L Chaimowicz 2011 16th international conference on computer games (CGAMES), 50-57, 2011 | 53 | 2011 |
| Learning Purposeful Behaviour in the Absence of Rewards MC Machado, M Bowling arXiv preprint arXiv:1605.07700, 2016 | 26 | 2016 |
| Exploration in reinforcement learning with deep covering options Y Jinnai, JW Park, MC Machado, G Konidaris International Conference on Learning Representations, 2020 | 25 | 2020 |
| Domain-independent optimistic initialization for reinforcement learning MC Machado, S Srinivasan, M Bowling Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 22 | 2015 |
| The Eigenoption-Critic Framework M Liu, MC Machado, G Tesauro, M Campbell arXiv preprint arXiv:1712.04065, 2017 | 13 | 2017 |
| An operator view of policy gradient methods D Ghosh, M C Machado, N Le Roux Advances in Neural Information Processing Systems 33, 2020 | 12 | 2020 |
| Beyond variance reduction: Understanding the true impact of baselines on policy optimization W Chung, V Thomas, MC Machado, N Le Roux International Conference on Machine Learning, 1999-2009, 2021 | 11 | 2021 |
| Introspective agents: Confidence measures for general value functions C Sherstan, A White, MC Machado, PM Pilarski International Conference on Artificial General Intelligence, 258-261, 2016 | 11 | 2016 |
| A binary classification approach for automatic preference modeling of virtual agents in Civilization IV MC Machado, GL Pappa, L Chaimowicz 2012 IEEE Conference on Computational Intelligence and Games (CIG), 155-162, 2012 | 10 | 2012 |
| Combining metaheuristics and csp algorithms to solve sudoku MC Machado, L Chaimowicz 2011 Brazilian Symposium on Games and Digital Entertainment, 124-131, 2011 | 10 | 2011 |
Marc G. BellemareGoogle BrainVerified email at google.com
