Revisiting the Gumbel-Softmax in MADDPG. - Callum Rhys Tilbury; Filippos Christianos; Stefano V. Albrecht (CoRR, 2023)

Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. - Claude Formanek; Callum Rhys Tilbury; Jonathan P. Shock; Kale-ab Abebe Tessera; Arnu Pretorius (CoRR, 2023)

Generalisable Agents for Neural Network Optimisation. - Kale-ab Abebe Tessera; Callum Rhys Tilbury; Sasha Abramowitz; Ruan de Kock; Omayma Mahjoub; Benjamin Rosman; Sara Hooker; Arnu Pretorius (CoRR, 2023)

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation. - Juan Claude Formanek; Callum Rhys Tilbury; Louise Beyers; Jonathan P. Shock; Arnu Pretorius (NeurIPS, 2024)

Coordination Failure in Cooperative Offline MARL. - Callum Rhys Tilbury; Claude Formanek; Louise Beyers; Jonathan P. Shock; Arnu Pretorius (CoRR, 2024)

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning. - Claude Formanek; Louise Beyers; Callum Rhys Tilbury; Jonathan P. Shock; Arnu Pretorius (CoRR, 2024)

Opportunities of Reinforcement Learning in South Africa's Just Transition. - Claude Formanek; Callum Rhys Tilbury; Jonathan P. Shock (CoRR, 2024)