An investigation into 2048 AI strategies. - Philip Rodgers; John Levine (CIG, 2014)

Ensemble Framework for Real-time Decision Making. - Philip Rodgers; John Levine (CoRR, 2017)

Ensemble Decision Making in Real-Time Games. - Philip Rodgers; John Levine; Damien Anderson (CIG, 2018)

Ensemble Decision Systems for General Video Game Playing. - Damien Anderson; Philip Rodgers; John Levine; Cristina Guerrero-Romero; Diego Perez Liebana (CoG, 2019)

Towards evolution-based autonomy in large-scale systems. - Damien Anderson; Paul Harvey 002; Yusaku Kaneta; Petros Papadopoulos; Philip Rodgers; Marc Roper (GECCO Companion, 2022)

PipeLearn: Pipeline Parallelism for Collaborative Machine Learning. - Zihan Zhang; Philip Rodgers; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (CoRR, 2023)

Communication Efficient DNN Partitioning-based Federated Learning. - Di Wu 065; Rehmat Ullah 001; Philip Rodgers; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (CoRR, 2023)

PiPar: Pipeline parallelism for collaborative machine learning. - Zihan Zhang; Philip Rodgers; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (J. Parallel Distributed Comput., 2024)

DNNShifter: An efficient DNN pruning system for edge computing. - Bailey J. Eccles; Philip Rodgers; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (Future Gener. Comput. Syst., 2024)

EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning. - Di Wu 065; Rehmat Ullah 001; Philip Rodgers; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (IEEE Trans. Parallel Distributed Syst., 2024)