Assessing evolutionary terrain generation methods for curriculum reinforcement learning. - David Howard 001; Humphrey Munn; Davide Dolcetti; Josh Kannemeyer; Nicole L. Robinson (GECCO, 2022)

Modularity in NEAT Reinforcement Learning Networks. - Humphrey Munn; Marcus Gallagher (CoRR, 2022)

Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning. - Humphrey Munn; Marcus Gallagher (IJCNN, 2023)

Whole-Body Dynamic Throwing with Legged Manipulators. - Humphrey Munn; Brendan Tidd; David Howard 001; Marcus Gallagher (CoRR, 2024)

Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution. - Humphrey Munn; Brendan Tidd; Peter Böhm; Marcus Gallagher; David Howard 001 (CoRR, 2025)