Towards continual reinforcement learning through evolutionary meta-learning. - Djordje Grbic; Sebastian Risi (GECCO (Companion), 2019)

Evolving hypernetworks for game-playing agents. - Christian Carvelli; Djordje Grbic; Sebastian Risi (GECCO Companion, 2020)

Safer reinforcement learning through evolved instincts. - Djordje Grbic; Sebastian Risi (GECCO Companion, 2020)

Safe Reinforcement Learning through Meta-learned Instincts. - Djordje Grbic; Sebastian Risi (ALIFE, 2020)

EvoCraft: A New Challenge for Open-Endedness. - Djordje Grbic; Rasmus Berg Palm; Elias Najarro; Claire Glanois; Sebastian Risi (EvoApplications, 2021)

Safer Reinforcement Learning through Transferable Instinct Networks. - Djordje Grbic; Sebastian Risi (ALIFE, 2021)

Growing 3D Artefacts and Functional Machines with Neural Cellular Automata. - Shyam Sudhakaran; Djordje Grbic; Siyan Li; Adam Katona; Elias Najarro; Claire Glanois; Sebastian Risi (ALIFE, 2021)

Procedurally generating rules to adapt difficulty for narrative puzzle games. - Thomas Volden; Djordje Grbic; Paolo Burelli (CoG, 2023)

Towards a Deep Reinforcement Learning Model of Master Bay Stowage Planning. - Jaike van Twiller; Djordje Grbic; Rune Møller Jensen (ICCL, 2023)

CastNet: a systems-level sequence evolution simulator. - Carlos J. Rivera-Rivera; Djordje Grbic (BMC Bioinform., 2023)

CPPN2WFC: Extending Wave Function Collapse to Generate Globally Coherent Content. - Oleg Jarma Montoya; Frantisek Srb; Djordje Grbic; Sebastian Risi (GECCO, 2025)

Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning. - Jaike van Twiller; Yossiri Adulyasak; Erick Delage; Djordje Grbic; Rune Møller Jensen (CoRR, 2025)

AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand Uncertainty. - Jaike van Twiller; Djordje Grbic; Rune Møller Jensen (CoRR, 2025)