no code implementations • 9 May 2020 • Aavaas Gajurel, Sushil J. Louis, Frederick C Harris
Our results show that the activation of sparse neural networks lends very well to GPU acceleration and can help speed up machine learning strategies which generate such networks or other processes that have similar structure.
2 code implementations • 19 Feb 2019 • Adarsh Sehgal, Hung Manh La, Sushil J. Louis, Hai Nguyen
Reinforcement learning (RL) enables agents to take decision based on a reward function.
no code implementations • 27 Mar 2018 • Aavaas Gajurel, Sushil J. Louis, Daniel J Mendez, Siming Liu
This paper evolves neural networks to control movement and attack commands, also called micro, for a group of ranged units skirmishing with a group of melee units.
no code implementations • 27 Mar 2018 • Navin K Adhikari, Sushil J. Louis, Siming Liu, Walker Spurgeon
Although good long-term macro-strategy and good short-term unit micromanagement both impact real-time strategy games performance, this paper focuses on generating quality micro.
no code implementations • 8 Mar 2018 • Sushil J. Louis, Siming Liu
We attack the problem of controlling teams of autonomous units during skirmishes in real-time strategy games.
no code implementations • 27 Nov 2017 • Juan C. Quiroz, Amit Banerjee, Sushil J. Louis, Sergiu M. Dascalu
We present a computational model of creative design based on collaborative interactive genetic algorithms.