9 citations · 17 across the 12 of their papers we have counts for
5 papers · 1 filter
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization
Adarsh Sehgal, Hung Manh La, Sushil J. Louis +1
Reinforcement learning (RL) enables agents to take decision based on a reward function. However, in the process of learning, the choice of values for learning algorithm parameters…
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro
Rahul Dubey, Joseph Ghantous, Sushil Louis +1
We investigate an evolutionary multi-objective approach to good micro for real-time strategy games. Good micro helps a player win skirmishes and is one of the keys to developing be…
Co-evolving Real-Time Strategy Game Micro
Navin K Adhikari, Sushil J. Louis, Siming Liu +1
We investigate competitive co-evolution of unit micromanagement in real-time strategy games. Although good long-term macro-strategy and good short-term unit micromanagement both im…
Multi-objective evolution for 3D RTS Micro
Sushil J. Louis, Siming Liu
We attack the problem of controlling teams of autonomous units during skirmishes in real-time strategy games. Earlier work had shown promise in evolving control algorithm parameter…
Collaborative Evolution of 3D Models
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis +1
We present a computational model of creative design based on collaborative interactive genetic algorithms. In our model, designers individually guide interactive genetic algorithms…