Tim Oates

Designing and Learning Substitutable Plane Graph Grammars

2016 · Fundamenta Informaticae

Though graph grammars have been widely investigated for 40 years, few learning results exist for them. The main reasons come from complexity issues that are inherent when graphs, and a fortiori graph grammars, are considered. …

Learning from Observations Using a Single Video Demonstration and Human Feedback

2019 · arXiv (Cornell University)

In this paper, we present a method for learning from video demonstrations by using human feedback to construct a mapping between the standard representation of the agent and the visual representation of the demonstration. In …

Learning with Holographic Reduced Representations

2021 · arXiv (Cornell University)

Holographic Reduced Representations (HRR) are a method for performing symbolic AI on top of real-valued vectors by associating each vector with an abstract concept, and providing mathematical operations to manipulate vectors as if they were …

Early Detection of Cybersecurity Threats Using Collaborative Cognition

2018

The early detection of cybersecurity events such as attacks is challenging given the constantly evolving threat landscape. Even with advanced monitoring, sophisticated attackers can spend more than 100 days in a system before being detected. …

Towards an Interpretable Hierarchical Agent Framework using Semantic Goals

2022 · arXiv (Cornell University)

Learning to solve long horizon temporally extended tasks with reinforcement learning has been a challenge for several years now. We believe that it is important to leverage both the hierarchical structure of complex tasks and …

Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations

2022 · arXiv (Cornell University)

Due to the computational cost of running inference for a neural network, the need to deploy the inferential steps on a third party's compute environment or hardware is common. If the third party is not …