Jonathan D. Thomas

18 papers A 1B 3Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Learning Efficient Recursive Numeral Systems via Reinforcement Learning. CogSci Andrea Silvi, Jonathan D. Thomas, Emil Carlsson, Devdatt P. Dubhashi, Moa Johansson
2025	B	`conf`	PACE: Procedural Abstractions for Communicating Efficiently. CogSci Jonathan D. Thomas, Andrea Silvi, Devdatt P. Dubhashi, Moa Johansson
2024	J	`jnl`	ACE: Abstractions for Communicating Efficiently. CoRR Jonathan D. Thomas, Andrea Silvi, Devdatt P. Dubhashi, Vikas Garg, Moa Johansson
2024	J	`jnl`	Learning Efficient Recursive Numeral Systems via Reinforcement Learning. CoRR Jonathan D. Thomas, Andrea Silvi, Devdatt P. Dubhashi, Emil Carlsson, Moa Johansson
2024	A	`conf`	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. IROS Aleksandar Krnjaic, Raul D. Steleac, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew Wing-Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht
2023	—	`conf`	Achieving Goals Using Reward Shaping and Curriculum Learning. FTC (1) Mihai Anca, Jonathan D. Thomas, Dabal Pedamonti, Mark Hansen, Matthew Studley
2023	—	`conf`	Multi-lingual agents through multi-headed neural networks. NLDL Jonathan D. Thomas, Raúl Santos-Rodríguez, Mihai Anca, Robert J. Piechocki
2022	J	`jnl`	Effects of Reward Shaping on Curriculum Learning in Goal Conditioned Tasks. CoRR Mihai Anca, Matthew Studley, Mark Hansen, Jonathan D. Thomas, Dabal Pedamonti
2022	—	`conf`	Federated Meta-Learning for Traffic Steering in O-RAN. VTC Fall Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor
2022	J	`jnl`	Federated Meta-Learning for Traffic Steering in O-RAN. CoRR Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor
2022	J	`jnl`	RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN. IEEE Access Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
2022	J	`jnl`	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. CoRR Aleksandar Krnjaic, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Peter Börsting, Stefano V. Albrecht
2022	J	`jnl`	Self-play learning strategies for resource assignment in Open-RAN networks. Comput. Networks Xiaoyang Wang, Jonathan D. Thomas, Robert J. Piechocki, Shipra Kapoor, Raúl Santos-Rodríguez, Arjun Parekh
2022	J	`jnl`	Sim2real for Reinforcement Learning Driven Next Generation Networks. CoRR Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
2021	J	`jnl`	Multi-lingual agents through multi-headed neural networks. CoRR Jonathan D. Thomas, Raúl Santos-Rodríguez, Robert J. Piechocki, Mihai Anca
2021	B	`conf`	Network Maintenance Planning Via Multi-Agent Reinforcement Learning. SMC Jonathan D. Thomas, Marco Pérez-Hernández, Ajith Kumar Parlikad, Robert J. Piechocki
2021	J	`jnl`	RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN. CoRR Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
2021	J	`jnl`	Self-play Learning Strategies for Resource Assignment in Open-RAN Networks. CoRR Xiaoyang Wang, Jonathan D. Thomas, Robert J. Piechocki, Shipra Kapoor, Raúl Santos-Rodríguez, Arjun Parekh