Older News

2024

  • Our paper “CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision Making” has been accepted for publication in Transactions on Machine Learning Research (TMLR). The paper will appear soon, in the meantime you can download the preprint here.

  • Our paper “Creativity and Machine Learning: A Survey” has been accepted in ACM Computing Surveys. The paper will appear soon. In the meantime, you can download the preprint here.

  • New preprint: “Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective”. You can download the paper here.

  • I gave an invited talk at the Machine+Behavior Conference 2024 at the Max Planck Institute in Berlin.

  • I gave an invited talk hosted by Aalto University and the University of Helsinki on 3 April 2024 as part of the event “AI generated it - who owns it?”.

  • New preprint: “Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning”. You can download the preprint here.

  • New preprint: “Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents”. You can download the preprint here.

  • New preprint: “Information-Theoretic State Variable Selection for Reinforcement Learning”. You can download the preprint here.

  • Our paper “Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges” has been accepted for publication in the Journal of Artificial Intelligence Research (JAIR). You can download the paper here.

  • New preprint: “Learning Machine Morality through Experience and Interaction”. You can download the preprint here.

  • New preprint: “(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions”. You can download the preprint here.

2023

  • New preprint: “Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery”. You can download the preprint here.

  • New preprint: “Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges”. You can download the preprint here.

  • New preprint: “CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision Making”. You can download the preprint here.

  • New preprint: “Augmented Modular Reinforcement Learning based on Heterogeneous Knowledge” discussing a novel learning modular architecture based on reinforcement learning for processing and integrating multiple types of information (knowledge). You can download the article here.

  • Our paper “Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement” has been accepted for publication in the main research track of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023). You can download the preprint of the paper here.

  • New preprint: “On the Creativity of Large Language Models” discussing the problem of machine creativity in relation to LLMs. You can download the article here.

  • Our paper “CT-DQN: Control-Tutored Deep Reinforcement Learning” has been accepted for publication at the Learning for Dynamics and Control Conference (L4DC 2023). You can download the pre-print version of the paper here. The camera ready version of the paper will appear soon.

  • Our paper “Planning Spatial Networks with Monte Carlo Tree Search” has been accepted for publication in Proceedings of the Royal Society A. You can download the paper here.

  • Our paper “RLQ: Workload Allocation with Reinforcement Learning in Distributed Queues” has been accepted for publications in IEEE Transactions in Parallel and Distributed Systems. You can download the paper here.

  • The applications for the UCL Foundational Artificial Intelligence PhD program for the September 2023 intake are now open. You can find all the information here.

  • I am currently advertising a Postdoctoral Fellow position in my lab. I am looking for candidates with expertise in Machine Learning/Artificial Intelligence (with an interest in reinforcement learning and/or causal inference). Please do not hesitate to contact me for an informal discussion. Please apply here.

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Last updated: 25 June 2024.