5 citations · 9 across the 6 of their papers we have counts for
3 papers · 1 filter
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
Guilherme Palma, Pedro A. Santos, João Dias
Hex and Counter Wargames are adversarial two-player simulations of real military conflicts requiring complex strategic decision-making. Unlike classical board games, these games fe…
GAN-Based Content Generation of Maps for Strategy Games
Vasco Nunes, João Dias, Pedro A. Santos
Maps are a very important component of strategy games, and a time-consuming task if done by hand. Maps generated by traditional PCG techniques such as Perlin noise or tile-based PC…
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco +4
We introduce hybrid execution in multi-agent reinforcement learning (MARL), a new paradigm in which agents aim to successfully complete cooperative tasks with arbitrary communicati…