Mirco Musolesi
Professor of Computer Science
Leads the Machine Intelligence Lab, working on reinforcement learning, multi-agent systems and machine intelligence.
Mirco Musolesi's lab at UCL works on reinforcement learning, reasoning & neuro-symbolic AI and planning, control & multi-robot systems. 47 papers since 2023.
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 0 · collecting
- 14 papers2025 · T1 0
- 19 papers2024 · T1 0
- 5 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Reinforcement learning24 papers
- Planning, control & multi-robot systems10 papers
- Reasoning & neuro-symbolic AI0 papers
- machine intelligence0 papers
- intelligence0 papers
Paper list
From the lab homepage.
20269 papers
- Proceedings of the Reinforcement Learning Conference (RLCAn Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
- DecemberEmergent Semantic Role Understanding in Language Models
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPRGenTract: Generative Global Tractography
- EPJ Data ScienceImpact of Federated Data with Local Differential Privacy for Human Mobility Modeling
- Proceedings of the Annual AAAI Conference on Artificial Intelligence (AAAILearning to Cooperate with Minimal Observability
- Proceedings of the International Conference on Learning Representations (ICLROpponent Shaping in LLM Agents
- MarchQuantum Chemistry-Driven Molecular Inverse Design of Stable Isomers with Data-Free Reinforcement Learning
- JulySIP-Classifier: Unsupervised Classification of SIP-IMS Signaling With Transformer and Clustering
- JuneTERC: A Transfer Entropy Redundancy Criterion for State Variable Selection in Reinforcement Learning
202514 papers
- February“What Are They Not Telling Me?” Learning Machine Learning: Understanding the Challenges for Novices
- August(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
- AprilA Cost-aware Adaptive Bike Repositioning Agent using Deep Reinforcement Learning
- DecemberDiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation
- Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDDFeature Selection for Network Intrusion Detection
- DecemberHeterogeneous Knowledge for Augmented Modular Reinforcement Learning
- MarchInvestigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
- AugustMaynard Smith Revisited: A Multi-agent Reinforcement Learning Approach to the Coevolution of Signalling Behaviour
- Proceedings of the International Conference on Learning Representations (ICLRMoral Alignment for LLM Agents
- Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMASMulti-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
- Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATPartial Information Decomposition for Data Interpretability and Feature Selection
- JunePractitioners and Bias in Machine Learning: A Study
202419 papers
- June(Ir)rationality and Cognitive Biases in Large Language Models
- —[PDF] [BibTeX]
- Presented in ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCWA Computational Linguistic Approach to Study Border Theory at Scale
- JuneCoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision Making
- Proceedings of the International Conference on Computational Creativity (ICCCCreative Beam Search: LLM-as-a-Judge for Improving Response Generation
- Proceedings of the AAAI Conference on AI, Ethics, and Society (AIESDynamics of Moral Behavior in Heterogeneous Populations of Learning Agents
- NovemberEcological Brain: Reframing the Study of Human Behaviour and Cognition
- JuneGame-theoretic Agent-based Modelling of Micro-level Conflict: Evidence from the ISIS-Kurdish War
- AugustGraph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
- NovemberGuaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
- Proceedings of the International Conference on Cryptology and Network Security (CANSMarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field Using Mobile Devices
- OctoberModelling Human Navigation and Decision Dynamics in a First-person Herding Task
20235 papers
- Proceedings of the Annual Learning for Dynamics & Control Conference (L4DCCT-DQN: Control-Tutored Deep Reinforcement Learning
- Proceedings of the Joint Conference on Artificial Intelligence (IJCAIModeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
- JanuaryPlanning Spatial Networks with Monte Carlo Tree Search
- MarchRLQ: Workload Allocation with Reinforcement Learning in Distributed Queues
- Proceedings of the AAAI Fall SymposiumSteps Towards Satisficing Distributed Dynamic Team Trust
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Members
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