| 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 (JAIR) 61, 523-562, 2018 | 527 | 2018 |
| A Laplacian Framework for Option Discovery in Reinforcement Learning MC Machado, MG Bellemare, M Bowling International Conference on Machine Learning (ICML), 2017 | 272 | 2017 |
| 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 | 259 | 2020 |
| Count-based Exploration with the Successor Representation MC Machado, MG Bellemare, M Bowling AAAI Conference on Artificial Intelligence (AAAI), 2020 | 165 | 2020 |
| Generalization and Regularization in DQN J Farebrother, MC Machado, M Bowling NeurIPS Workshop on Deep Reinforcement Learning, 2018 | 163 | 2018 |
| Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning R Agarwal, MC Machado, PS Castro, MG Bellemare International Conference on Learning Representations (ICLR), 2021 | 140 | 2021 |
| Eigenoption Discovery through the Deep Successor Representation MC Machado, C Rosenbaum, X Guo, M Liu, G Tesauro, M Campbell International Conference on Learning Representations (ICLR), 2018 | 135 | 2018 |
| State of the Art Control of Atari Games using Shallow Reinforcement Learning Y Liang, MC Machado, E Talvitie, M Bowling International Conference on Autonomous Agents & Multiagent Systems (AAMAS), 2016 | 131 | 2016 |
| True Online Temporal-Difference Learning H Van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton Journal of Machine Learning Research (JMLR) 17 (1), 5057-5096, 2016 | 108 | 2016 |
| On Bonus Based Exploration Methods In The Arcade Learning Environment AA Taiga, W Fedus, MC Machado, A Courville, MG Bellemare International Conference on Learning Representations (ICLR), 2020 | 89* | 2020 |
| Player modeling: Towards a Common Taxonomy MC Machado, EPC Fantini, L Chaimowicz International Conference on Computer Games (CGAMES), 2011 | 57 | 2011 |
| Exploration in Reinforcement Learning with Deep Covering Options Y Jinnai, JW Park, MC Machado, G Konidaris International Conference on Learning Representations (ICLR), 2020 | 38 | 2020 |
| Learning Purposeful Behaviour in the Absence of Rewards MC Machado, M Bowling ICML Workshop on Abstraction in Reinforcement Learning, 2016 | 29 | 2016 |
| Domain-Independent Optimistic Initialization for Reinforcement Learning MC Machado, S Srinivasan, M Bowling AAAI Workshop on Learning for General Competency in Video Games, 2015 | 28 | 2015 |
| 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 (ICML), 2021 | 26 | 2021 |
| An Operator View of Policy Gradient Methods D Ghosh, M C Machado, N Le Roux Advances in Neural Information Processing Systems (NeurIPS), 2020 | 19 | 2020 |
| The Eigenoption-Critic Framework M Liu, MC Machado, G Tesauro, M Campbell NeurIPS Workshop on Hierarchical Reinforcement Learning, 2017 | 18 | 2017 |
| Temporal Abstraction in Reinforcement Learning with the Successor Representation MC Machado, A Barreto, D Precup, M Bowling Journal of Machine Learning Research (JMLR) 24 (80), 1-69, 2023 | 17 | 2023 |
| A General Class of Surrogate Functions for Stable and Efficient Reinforcement Learning S Vaswani, O Bachem, S Totaro, R Mueller, S Garg, M Geist, ... International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 | 14* | 2022 |
| Introspective Agents: Confidence Measures for General Value Functions C Sherstan, A White, MC Machado, PM Pilarski International Conference on Artificial General Intelligence (AGI), 258-261, 2016 | 11 | 2016 |
Marc G. BellemareGoogle BrainVerified email at google.com
