Scholar
Georgios Papoudakis
Google Scholar ID: wj69EBgAAAAJ
Unknown affiliation
Citations & Impact
Citations
1,204
H-index
9
i10-index
9
Publications
15
Co-authors
28
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control (NeurIPS, 2025)
- - AppVLM: A Lightweight Vision Language Model for Online App Control (Arxiv Preprint, 2025)
- - Lightweight Neural App Control (ICLR, 2025, Spotlight)
- - Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers (IEEE/RSJ IROS, 2024)
- - Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning (Arxiv Preprint, 2023)
- - Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning (TMLR, 2023)
- - Deep Reinforcement Learning for Multi-Agent Interaction (AIC, 2022)
- - Agent Modelling under Partial Observability for Deep Reinforcement Learning (NeurIPS, 2021)
- - Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks (NeurIPS Datasets and Benchmarks, 2021)
- - Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing (ICML, 2021)
- - Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning (Arxiv Preprint, 2019)
- - A Generative Model for Sparse, Evolving Digraphs (Complex Networks and their Applications, 2017)
Research Experience
- - Salesforce: Senior Member of Technical Staff
- - Huawei Noah’s Ark Lab (London): Research Scientist
- - Internships: Dematic and Inria-Lille's SequeL team
- - University of Edinburgh: Teaching Assistant, Demonstrator, Tutor, Marker
Education
- - PhD: University of Edinburgh, supervised by Dr. Stefano Albrecht, focusing on multi-agent reinforcement learning.
Background
- - Research Interests: Multi-agent reinforcement learning
- - Professional Field: Machine learning, Artificial Intelligence
- - Brief Introduction: Currently a Senior Member of Technical Staff at Salesforce, previously a research scientist at Huawei Noah’s Ark lab in London.
Miscellany
- - Personal Interests: Not explicitly mentioned
