Network Maintenance Planning Via Multi-Agent Reinforcement Learning. - Jonathan D. Thomas; Marco Pérez-Hernández; Ajith Kumar Parlikad; Robert J. Piechocki (SMC, 2021)

Federated Meta-Learning for Traffic Steering in O-RAN. - Hakan Erdol; Xiaoyang Wang 005; Peizheng Li; Jonathan D. Thomas; Robert J. Piechocki; George Oikonomou; Rui Inacio; Abdelrahim Kasem Ahmad; Keith Briggs; Shipra Kapoor (VTC Fall, 2022)

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN. - Peizheng Li; Jonathan D. Thomas; Xiaoyang Wang 005; Ahmed Khalil; Abdelrahim Kasem Ahmad; Rui Inacio; Shipra Kapoor; Arjun Parekh; Angela Doufexi; Arman Shojaeifard; Robert J. Piechocki (IEEE Access, 2022)

Self-play learning strategies for resource assignment in Open-RAN networks. - Xiaoyang Wang 005; Jonathan D. Thomas; Robert J. Piechocki; Shipra Kapoor; Raúl Santos-Rodríguez; Arjun Parekh (Comput. Networks, 2022)

Effects of Reward Shaping on Curriculum Learning in Goal Conditioned Tasks. - Mihai Anca; Matthew Studley; Mark Hansen; Jonathan D. Thomas; Dabal Pedamonti (CoRR, 2022)

Sim2real for Reinforcement Learning Driven Next Generation Networks. - Peizheng Li; Jonathan D. Thomas; Xiaoyang Wang 005; Hakan Erdol; Abdelrahim Kasem Ahmad; Rui Inacio; Shipra Kapoor; Arjun Parekh; Angela Doufexi; Arman Shojaeifard; Robert J. Piechocki (CoRR, 2022)

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. - Aleksandar Krnjaic; Jonathan D. Thomas; Georgios Papoudakis; Lukas Schäfer 001; Peter Börsting; Stefano V. Albrecht (CoRR, 2022)

Achieving Goals Using Reward Shaping and Curriculum Learning. - Mihai Anca; Jonathan D. Thomas; Dabal Pedamonti; Mark Hansen; Matthew Studley (FTC (1), 2023)

Multi-lingual agents through multi-headed neural networks. - Jonathan D. Thomas; Raúl Santos-Rodríguez; Mihai Anca; Robert J. Piechocki (NLDL, 2023)

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. - Aleksandar Krnjaic; Raul D. Steleac; Jonathan D. Thomas; Georgios Papoudakis; Lukas Schäfer 001; Andrew Wing-Keung To; Kuan-Ho Lao; Murat Cubuktepe; Matthew Haley; Peter Börsting; Stefano V. Albrecht (IROS, 2024)

Learning Efficient Recursive Numeral Systems via Reinforcement Learning. - Jonathan D. Thomas; Andrea Silvi; Devdatt P. Dubhashi; Emil Carlsson; Moa Johansson (CoRR, 2024)

ACE: Abstractions for Communicating Efficiently. - Jonathan D. Thomas; Andrea Silvi; Devdatt P. Dubhashi; Vikas Garg 001; Moa Johansson (CoRR, 2024)