A general learning framework for open ad hoc teamwork using graph-based policy learning

Arrasy Rahman , Ignacio Carlucho , Niklas Höpner , Stefano V Albrecht
Journal of Machine Learning Research 24 ( 298) 1 -74

4
2023
Towards quantum-secure authentication and key agreement via abstract multi-agent interaction

Ibrahim H Ahmed , Josiah P Hanna , Elliot Fosong , Stefano V Albrecht
Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection: 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings 19 14 -26

4
2021
Local information opponent modelling using variational autoencoders

Georgios Papoudakis , Filippos Christianos , Stefano V Albrecht

4
2020
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review

Anton Kuznietsov , Balint Gyevnar , Cheng Wang , Steven Peters
arXiv preprint arXiv:2402.10086

3
2024
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning

Filippos Christianos , Georgios Papoudakis , Stefano V Albrecht
arXiv preprint arXiv:2209.14344

3
2022
Dipa: Diverse and probabilistically accurate interactive prediction

Anthony Knittel , Majd Hawasly , Stefano V Albrecht , John Redford
arXiv preprint arXiv:2210.06106

3
2022
Perspectives on the system-level design of a safe autonomous driving stack

Majd Hawasly , Jonathan Sadeghi , Morris Antonello , Stefano V Albrecht
AI Communications 35 ( 4) 285 -294

3
2022
Reports on the 2015 aaai workshop program

Stefano V Albrecht , J Christopher Beck , David L Buckeridge , Adi Botea
Ai Magazine 36 ( 2) 90 -101

3
2015
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments

Alain Andres , Lukas Schäfer , Esther Villar-Rodriguez , Stefano V Albrecht
arXiv preprint arXiv:2304.09825

2
2023
Cooperative marine operations via ad hoc teams

Ignacio Carlucho , Arrasy Rahman , William Ard , Elliot Fosong
arXiv preprint arXiv:2207.07498

2
2022
Multi-agent systems research in the United Kingdom.

Stefano V Albrecht , Michael Wooldridge , Michael Woolridge
AI Communications 35 ( 4)

2
2022
MIDGARD: A simulation platform for autonomous navigation in unstructured environments

Giuseppe Vecchio , Simone Palazzo , Dario C Guastella , Ignacio Carlucho
arXiv preprint arXiv:2205.08389

2
2022
Enhancing transfer of reinforcement learning agents with abstract contextual embeddings

Guy Azran , Mohamad Hosein Danesh , Stefano V Albrecht , Sarah Keren
NeurIPS 2022 Workshop on Neuro Causal and Symbolic AI (nCSI)

1
2022
Opponent Modelling with Local Information Variational Autoencoders.

Georgios Papoudakis , Filippos Christianos , Stefano V Albrecht
CoRR

1
2020
Causal Explanations for Stochastic Sequential Multi-Agent Decision-Making

Balint Gyevnar , Cheng Wang , Christopher G Lucas , Shay B Cohen
Explainable and Transparent AI and Multi-Agent Systems

1
Highway Graph to Accelerate Reinforcement Learning

Zidu Yin , Zhen Zhang , Dong Gong , Stefano V Albrecht
arXiv preprint arXiv:2405.11727

2024
Learning Complex Teamwork Tasks using a Given Sub-task Decomposition

Elliot Fosong , Arrasy Rahman , Ignacio Carlucho , Stefano V Albrecht
598 -606

2024
Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems

Sarah Keren , Chaimaa Essayeh , Stefano V Albrecht , Thomas Mortsyn
arXiv preprint arXiv:2404.15583

2024
Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras

Mhairi Dunion , Stefano V Albrecht
arXiv preprint arXiv:2404.14064

2024
Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

Guy Azran , Mohamad H Danesh , Stefano V Albrecht , Sarah Keren
Proceedings of the AAAI Conference on Artificial Intelligence 38 ( 10) 10953 -10961

2024