Instruction Level Profiling and Evaluation of the IBM/6000. - Chriss Stephens; Bryce Cogswell; John Heinlein; Gregory Palmer; John Paul Shen (ISCA, 1991)

Lenient Multi-Agent Deep Reinforcement Learning. - Gregory Palmer; Karl Tuyls; Daan Bloembergen; Rahul Savani (AAMAS, 2018)

Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. - Gregory Palmer; Rahul Savani; Karl Tuyls (AAMAS, 2019)

Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. - Benjamin Schnieders; Shan Luo; Gregory Palmer; Karl Tuyls (AAMAS, 2019)

The Automated Inspection of Opaque Liquid Vaccines. - Gregory Palmer; Benjamin Schnieders; Rahul Savani; Karl Tuyls; Joscha-David Fossel; Harry Flore (ECAI, 2020)

A deep learning approach to identify unhealthy advertisements in street view images. - Gregory Palmer; Mark Green; Emma Boyland; Yales Stefano Rios Vasconcelos; Rahul Savani; Alex Singleton 001 (CoRR, 2020)

Independent learning approaches: overcoming multi-agent learning pathologies in team-games. - Gregory Palmer (2020)

A geographic data science framework for the functional and contextual analysis of human dynamics within global cities. - Alessia Calafiore; Gregory Palmer; Sam Comber; Daniel Arribas-Bel; Alex Singleton 001 (Comput. Environ. Urban Syst., 2021)

Developing an AI-Enabled IIoT Platform - Lessons Learned from Early Use Case Validation. - Holger Eichelberger; Gregory Palmer; Svenja Reimer; Tat Trong Vu; Hieu Do; Sofiane Laridi; Alexander Weber 006; Claudia Niederée; Thomas Hildebrandt (ECSA (Tracks and Workshops), 2022)

Market Making with Scaled Beta Policies. - Joseph Jerome; Gregory Palmer; Rahul Savani (ICAIF, 2022)

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. - Yi Chang 004; Sofiane Laridi; Zhao Ren; Gregory Palmer; Björn W. Schuller; Marco Fisichella (CoRR, 2022)

Identifying Cause-and-Effect Relationships of Manufacturing Errors using Sequence-to-Sequence Learning. - Jeff Reimer; Yandong Wang; Sofiane Laridi; Juergen Urdich; Sören Wilmsmeier; Gregory Palmer (CoRR, 2022)

Data Valuation for Offline Reinforcement Learning. - Amir Abolfazli; Gregory Palmer; Daniel Kudenko (CoRR, 2022)

Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection. - Peter Wißbrock; Yvonne Richter; David Pelkmann; Zhao Ren; Gregory Palmer (CoRR, 2022)

Cutting Through the Noise: An Empirical Comparison of Psycho-Acoustic and Envelope-based Features for Machinery Fault Detection. - Peter Wißbrock; Yvonne Richter; David Pelkmann; Zhao Ren; Gregory Palmer (ICASSP, 2023)

A Deep Reinforcement Learning Approach to Configuration Sampling Problem. - Amir Abolfazli; Jakob Spiegelberg; Gregory Palmer; Avishek Anand (ICDM, 2023)

Multimodal Isotropic Neural Architecture with Patch Embedding. - Hubert Truchan; Evgenii Naumov; Rezaul Abedin; Gregory Palmer; Zahra Ahmadi (ICONIP (1), 2023)

Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey. - Gregory Palmer; Chris Parry; Daniel J. B. Harrold; Chris Willis (CoRR, 2023)

Developing an AI-enabled Industry 4.0 platform - Performance experiences on deploying AI onto an industrial edge device. - Holger Eichelberger; Gregory Palmer; Claudia Niederée (Softwaretechnik-Trends, 2023)

Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding. - Sofiane Laridi; Gregory Palmer; Kam-Ming Mark Tam (CoRR, 2024)

Machine Theory of Mind for Autonomous Cyber-Defence. - Luke Swaby; Matthew Stewart; Daniel J. B. Harrold; Chris Willis; Gregory Palmer (CoRR, 2024)

An Empirical Game-Theoretic Analysis of Autonomous Cyber-Defence Agents. - Gregory Palmer; Luke Swaby; Daniel J. B. Harrold; Matthew Stewart; Alex Hiles; Chris Willis; Ian Miles; Sara Farmer (CoRR, 2025)

Guidelines for Applying RL and MARL in Cybersecurity Applications. - Vasilios Mavroudis; Gregory Palmer; Sara Farmer; Kez Smithson Whitehead; David Foster; Adam Price; Ian Miles; Alberto Caron; Stephen Pasteris (CoRR, 2025)