Personal profile
Overview
Radu Stoican is a PhD student in Computer Science at the University of Manchester. He is a member of the Cognitive Robotics Lab and the Centre for Robotics and AI. His PhD project is supervised by Angelo Cangelosi and funded by the Honda Research Institute Europe GmbH.
Research interests
Radu is interested in artificial intelligence and machine learning, with a focus on reinforcement learning (RL). More precisely, his main research topic is meta-reinforcement learning, where he studies methods for automatically learning novel RL algorithms directly from data. His approach is centred on learning sample-efficient exploration for RL, and he has used ideas from related topics, like sequence modelling and representation learning, to achieve this objective. The ultimate goal of his research is to develop algorithms that adapt to complex, dynamic environments, for applications such as robotics and human-robot interaction.
Education/Academic qualification
Bachelor of Science, Computer Science, The University of Manchester
… → 2021
External positions
PhD Student, Honda Research Institute Europe GmbH
10 Sept 2021 → …
Areas of expertise
- QA75 Electronic computers. Computer science
- Artificial Intelligence (AI)
- Machine Learning
- Reinforcement Learning
- Meta-Learning
- Meta-Reinforcement Learning
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning
Huo, Y., Dash, S. P., Stoican, R., Kaski, S. & Sun, M., 2026, In: Transactions on Machine Learning Research. 2026-FebruaryResearch output: Contribution to journal › Article › peer-review
-
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning
Huo, Y., Dash, S. P., Stoican, R., Kaski, S. & Sun, M., 26 Jan 2026, (Submitted) arXiv, p. 1-31, 31 p.Research output: Preprint/Working paper › Preprint
File -
Task-Specific Exploration in Meta-Reinforcement Learning via Task Reconstruction
Stoican, R., Cangelosi, A., Goerick, C. & Weisswange, T., 2 Mar 2026, (Accepted/In press) In: Transactions on Machine Learning Research .Research output: Contribution to journal › Article › peer-review
-
Human-Centred Robotics and AI for Trustworthy Human-Robot Interaction
Cangelosi, A., Adikari, M., Maharjan, R. S., Raggioli, L., Semeraro, F., Stoican, R., Tavella, F., Zhu, H. & Romeo, M., 27 Aug 2025, Technology as Cultural Mediator: Theories and Experiences from Different Contexts. Ligorio, M. B. (ed.). Cham: Springer Cham, p. 191–222 32 p. (Culture in Policy Making: The Symbolic Universes of Social Action).Research output: Chapter in Book/Conference proceeding › Chapter › peer-review
-
MEWA: A Benchmark For Meta-Learning in Collaborative Working Agents
Stoican, R., Cangelosi, A. & Weisswange, T., 5 Dec 2023. 8 p.Research output: Contribution to conference › Paper › peer-review
Open Access
Projects
-
RAI: Centre for Robotics and Artificial Intelligence
Cangelosi, A. (PI), Lennox, B. (PI), Weightman, A. (CoI), Dennis, L. (CoI), Dixon, C. (CoI), Fisher, M. (CoI), Herrmann, G. (CoI), Dickson, A. (CoI), Lanzon, A. (CoI), Stancu, A. (CoI), Miller, A. (CoI), Freitas, A. (CoI), Nini, A. (CoI), Voronkov, A. (CoI), Brass, A. (CoI), Vijayaraghavan, A. (CoI), Parslew, B. (CoI), crowther, W. (CoI), Grieve, B. (CoI), Adorno, B. (CoI), Jay, C. (CoI), Wang, C. C. L. (CoI), Todd, C. (CoI), Soutis, C. (CoI), Arsene, C. (CoI), Dresner, D. (CoI), Barrett, E. (CoI), Gowen, E. (CoI), Arvin, F. (CoI), Podd, F. (CoI), Brown, G. (CoI), Reger, G. (CoI), Cooper, G. (CoI), Mairs, H. (CoI), Yin, H. (CoI), Kinloch, I. (CoI), Eleftheriou, I. (CoI), Li, J. (CoI), Carrasco Gomez, J. (CoI), Ainsworth, J. (CoI), Sinha, J. (CoI), Ozanyan, K. (CoI), Smith, K. (CoI), Twomey, K. (CoI), Margetts, L. (CoI), Ren, L. (CoI), Zhang, L. (CoI), Cordeiro, L. (CoI), Rattray, M. (PI), Bissett, M. (CoI), Elliot, M. (CoI), Alvarez, M. (CoI), Luján, M. (CoI), Nabawy BSc, MSc, PhD, MRAeS, SMAIAA, FHEA, M. (CoI), Peek, N. (CoI), Marjanovic, O. (CoI), Dorn, O. (CoI), Dudek, P. (CoI), Green, P. (CoI), Connolly, P. (CoI), Da Silva Bartolo, P. J. (CoI), Gardner, P. (CoI), Martin, P. (CoI), Potluri, P. (CoI), Curtis, R. (CoI), Schmidt, R. (CoI), Banach, R. (CoI), Batista-Navarro, R. T. (CoI), Kaski, S. (CoI), Midson, S. (CoI), Watson, S. (CoI), Holm, S. (CoI), Furber, S. (CoI), Schlegel, V. (CoI), Mirihanage, W. (CoI), Mansell, W. (CoI), Pan, W. (CoI), Sampson, B. (CoI), Sellers, W. (CoI), Yang, W. (CoI), Cai, P. (CoI), Sun, Y. (CoI), Alharthi, A. (Researcher), Macario Rojas, A. (Researcher), Serhan, B. (Researcher), Yu, C. (Researcher), Abara, D. (Researcher), Lopez Pulgarin, E. (Researcher), Faruq, F. (Researcher), Tavella, F. (Researcher), Semeraro, F. (Researcher), Liu, G. (Researcher), Fang, G. (Researcher), Niu, H. (Researcher), Taylor, H. (PI), Zhu, H. (PGR student), Collenette, J. (Researcher), Amano, K. (Researcher), Lo, K. C. J. (PGR student), Raggioli, L. (Researcher), Romeo, M. (Researcher), Ruocco, M. (PGR student), Ghaffari Saadat, M. (Researcher), Walmsley, M. (Researcher), Mubarik, A. (Researcher), Vinanzi, S. (Researcher), Su, Y.-H. (PGR student), McAleese, H. (PGR student), Stringer, P. (PGR student), Stoican, R. (PGR student), Ye, R. (PGR student), Kurawa, S. S. (PGR student), Zhang, T. (PGR student), Krywonos, W. (PGR student), Xu, Y. (PGR student), Tian, Y. (PGR student), Henderson, A. (Technical team), Morley, D. (Support team), Tallentire, J. (Support team), Smith, J. (Support team), Hawthornthwaite, S. (Support team), Carlson, J. (Support team) & Baniqued, P. D. (Researcher)
Project: Research
Thesis
-
Exploration in Few-Shot Meta-Reinforcement Learning
Stoican, R. (Author), Vinanzi, S. (Co Supervisor) & Cangelosi, A. (Main Supervisor), 25 Nov 2025Student thesis: Phd
File