Derek Martin

Chapter · January 1, 2020 Learning in multi-agent systems, especially with adversarial behavior being exhibited, is difficult and challenging. The learning within these complicated environments is often muddied by the multitudinous conflicting or poorly correlated data coming from ... Full text Cite

Recreating virtual environments from user traffic pattern

Conference 2018 10th International Conference on Virtual Worlds and Games for Serious Applications Vs Games 2018 Proceedings · October 15, 2018 Virtual and Augmented Reality applications need a detailed model of the surrounding environment as well as their own location within it to provide users with immersive, interactive experiences. However, current techniques to build such models are often tim ... Full text Cite

ESense: BioMimetic modeling of echolocation and electrolocation using homeostatic dual-layered reinforcement learning

Conference Proceedings of the Southeast Conference Acmse 2017 · April 13, 2017 This research explores diferent approaches to finding a moving target in a gridworld through reinforcement learning. Onewell known method for implementing reinforcement learning is the SARSA-γ algorithm. The traditional SARSA-γ algorithm is inefficient at ... Full text Cite