| The first microrts artificial intelligence competition S Ontañón, NA Barriga, CR Silva, RO Moraes, LHS Lelis AI Magazine 39 (1), 75-83, 2018 | 58 | 2018 |
| Action abstractions for combinatorial multi-armed bandit tree search R Moraes, J Marino, L Lelis, M Nascimento Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018 | 33 | 2018 |
| Strategy generation for multiunit real-time games via voting C Silva, RO Moraes, LHS Lelis, K Gal IEEE Transactions on Games 11 (4), 426-435, 2018 | 27 | 2018 |
| Evolving action abstractions for real-time planning in extensive-form games JRH Marino, RO Moraes, C Toledo, LHS Lelis Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2330-2337, 2019 | 26 | 2019 |
| Asymmetric action abstractions for multi-unit control in adversarial real-time games R Moraes, L Lelis Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 24 | 2018 |
| Programmatic strategies for real-time strategy games JRH Marino, RO Moraes, TC Oliveira, C Toledo, LHS Lelis Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 381-389, 2021 | 14 | 2021 |
| Nested-greedy search for adversarial real-time games R Moraes, J Mariño, L Lelis Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018 | 11 | 2018 |
| Choosing well your opponents: How to guide the synthesis of programmatic strategies RO Moraes, DS Aleixo, LN Ferreira, LHS Lelis arXiv preprint arXiv:2307.04893, 2023 | 8 | 2023 |
| The nes video-music database: A dataset of symbolic video game music paired with gameplay videos I Cardoso, R O. Moraes, L N. Ferreira Proceedings of the 19th International Conference on the Foundations of …, 2024 | 3 | 2024 |
| Searching for programmatic policies in semantic spaces RO Moraes, LHS Lelis arXiv preprint arXiv:2405.05431, 2024 | 2 | 2024 |
| Asymmetric Action Abstractions for Planning in Real-Time Strategy Games RO Moraes, MA Nascimento, LHS Lelis Journal of Artificial Intelligence Research 75, 1103-1137, 2022 | | 2022 |
| InnateCoder: Learning Programmatic Options with Foundation Models RO Moraes, QA Sadmine, H Baier, L Lelis | | |
| Asymmetric Action Abstractions for Planning in Domains with Very Large Action Spaces and Real-Time Constraints RO Moraes, LHS Lelis | | |
Levi LelisUniversity of AlbertaVerified email at ualberta.ca
