Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games

Rubens O Moraes , Levi HS Lelis
AAAI Conference on Artificial Intelligence

23
2018
What can we learn even from the weakest? Learning sketches for programmatic strategies

Leandro C Medeiros , David S Aleixo , Levi HS Lelis
Proceedings of the AAAI Conference on Artificial Intelligence 36 ( 7) 7761 -7769

12
2022
Heuristic Subset Selection in Classical Planning

Levi HS Lelis , Santiago Franco , Marvin Abisrror , Mike Barley
IJCAI

11
2016
Show me the way! bilevel search for synthesizing programmatic strategies

David S Aleixo , Levi HS Lelis
Proceedings of the AAAI Conference on Artificial Intelligence 37 ( 4) 4991 -4998

7
2023
Procedural generation of initial states of sokoban

Dâmaris S Bento , André G Pereira , Levi HS Lelis
arXiv preprint arXiv:1907.02548

7
2019
Fast synthesis of algebraic heuristic functions for video-game pathfinding

Vadim Bulitko , Sergio Poo Hernandez , Levi HS Lelis
2021 IEEE Conference on Games (CoG) 01 -05

5
2021
Portability and explainability of synthesized formula-based heuristics

Vadim Bulitko , Shuwei Wang , Justin Stevens , Levi HS Lelis
Proceedings of the International Symposium on Combinatorial Search 15 ( 1) 29 -37

4
2022
Choosing well your opponents: How to guide the synthesis of programmatic strategies

Rubens O Moraes , David S Aleixo , Lucas N Ferreira , Levi HS Lelis
arXiv preprint arXiv:2307.04893

3
2023
Synthesizing programmatic policies with actor-critic algorithms and relu networks

Spyros Orfanos , Levi HS Lelis
arXiv preprint arXiv:2308.02729

2
2023
Searching for Programmatic Policies in Semantic Spaces

Rubens O Moraes , Levi HS Lelis
arXiv preprint arXiv:2405.05431

1
2024
Program synthesis with best-first bottom-up search

Saqib Ameen , Levi HS Lelis
Journal of Artificial Intelligence Research 77 1275 -1310

1
2023
Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint)

Saqib Ameen , Levi HS Lelis
Proceedings of the AAAI Conference on Artificial Intelligence 38 ( 20) 22691 -22691

2024
Assessing the Interpretability of Programmatic Policies with Large Language Models

Zahra Bashir , Michael Bowling , Levi HS Lelis
arXiv preprint arXiv:2311.06979

2023
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces

Zaheen Farraz Ahmad , Levi HS Lelis , Michael Bowling
arXiv e-prints arXiv: 2006.06054 -arXiv: 2006.06054

2020
UNVEILING OPTIONS WITH NEURAL DECOMPOSITION

Mahdi Alikhasi , Levi HS Lelis

Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games

Julian RH Marino , Rubens O Moraes , Claudio Toledo , Levi HS Lelis
national conference on artificial intelligence 33 ( 01) 2330 -2337

10
2019
Learning to Speed Up Evolutionary Content Generation in Physics-Based Puzzle Games

Leonardo T Pereira , Claudio Toledo , Lucas N Ferreira , Levi HS Lelis
international conference on tools with artificial intelligence 901 -907

8
2016
Mixed-initiative tool to speed up content creation in physics-based games

CRFG Campos , Walter de Oliveira Sá , Joao M Gusmao Teixeira , L Lelis
Proceedings of SBGames 2017 590 -593

4
2017
Feature Selection as State-Space Search: An Empirical Study in Clustering Problems

Julian R. H. Mariño , Levi H. S. Lelis
annual symposium on combinatorial search 191 -195

2
2015