| 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 | 253 | 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 | 141 | 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 | 97 | 2016 |
| 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 | 72 | 2016 |
| 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 | 64 | 2017 |
| Generalization and Regularization in DQN J Farebrother, MC Machado, M Bowling arXiv preprint arXiv:1810.00123, 2018 | 49 | 2018 |
| Player modeling: Towards a common taxonomy MC Machado, EPC Fantini, L Chaimowicz 2011 16th international conference on computer games (CGAMES), 50-57, 2011 | 45 | 2011 |
| 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 | 40 | 2020 |
| On Bonus Based Exploration Methods In The Arcade Learning Environment AA Taiga, W Fedus, MC Machado, A Courville, MG Bellemare | 26* | 2020 |
| Learning Purposeful Behaviour in the Absence of Rewards MC Machado, M Bowling arXiv preprint arXiv:1605.07700, 2016 | 25* | 2016 |
| Domain-independent optimistic initialization for reinforcement learning MC Machado, S Srinivasan, M Bowling Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 20 | 2015 |
| 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 | 16 | 2020 |
| The Eigenoption-Critic Framework M Liu, MC Machado, G Tesauro, M Campbell arXiv preprint arXiv:1712.04065, 2017 | 10 | 2017 |
| 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 | 10 | 2016 |
| Combining metaheuristics and csp algorithms to solve sudoku MC Machado, L Chaimowicz 2011 Brazilian Symposium on Games and Digital Entertainment, 124-131, 2011 | 9 | 2011 |
| 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 | 8 | 2012 |
| Accelerating learning in constructive predictive frameworks with the successor representation C Sherstan, MC Machado, PM Pilarski 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 6 | 2018 |
| Rtsmate: Towards an advice system for rts games RLDF Cunha, MC Machado, L Chaimowicz Computers in Entertainment (CIE) 12 (1), 1-20, 2015 | 6 | 2015 |
| Agents Behavior and Preferences Characterization in Civilization IV MC Machado, BSL Rocha, L Chaimowicz 2011 Brazilian Symposium on Games and Digital Entertainment, 43-52, 2011 | 6 | 2011 |
| Exploration in reinforcement learning with deep covering options Y Jinnai, JW Park, MC Machado, G Konidaris International Conference on Learning Representations, 2020 | 5 | 2020 |
Marc G. BellemareGoogle BrainVerified email at google.com
