3 citations · 3 across the 5 of their papers we have counts for
5 papers
InnateCoder: Learning Programmatic Options with Foundation Models
Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier +1
Outside of transfer learning settings, reinforcement learning agents start their learning process from a clean slate. As a result, such agents have to go through a slow process to…
Searching for Programmatic Policies in Semantic Spaces
Rubens O. Moraes, Levi H. S. Lelis
Syntax-guided synthesis is commonly used to generate programs encoding policies. In this approach, the set of programs, that can be written in a domain-specific language defines th…
The NES Video-Music Database: A Dataset of Symbolic Video Game Music Paired with Gameplay Videos
Igor Cardoso, Rubens O. Moraes, Lucas N. Ferreira
Neural models are one of the most popular approaches for music generation, yet there aren't standard large datasets tailored for learning music directly from game data. To address…
Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies
Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira +1
This paper introduces Local Learner (2L), an algorithm for providing a set of reference strategies to guide the search for programmatic strategies in two-player zero-sum games. Pre…
Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games
Rubens O. Moraes, Levi H. S. Lelis
Action abstractions restrict the number of legal actions available during search in multi-unit real-time adversarial games, thus allowing algorithms to focus their search on a set…