Le Thai An, PhD

• Reinforcement learning for locomotion
• Optimal transport theory and applications in robotics
• Dynamics generative models for motion planning
• VLA models for humanoids

Journals

• Model Tensor Planning. Le, A.T.; Nguyen, K.; Vu, N.M.; Carvalho, J.; Peters, J.; Transactions on Machine Learning Research (TMLR) (2025)
• Global Tensor Motion Planning. Le, A.T.; Hansel, K.; Carvalho, J.; Biess, A.; Chalvatzaki, G.; Peters, J. IEEE Robotics and Automation Letters (RA-L) (2025)
• Machine Learning with Physics Knowledge for Prediction: A Survey. Watson, J.; Song, C.; Weeger, O.; Gruner, T.; Le, A.T.; Hansel, K.; Hendawy, A.; Arenz, A.; Trojak, W.; Cranmer, M.; D’Eramo, C.; Buelow, F.; Goyal, T.; Peters, J.; Hoffmann, M.W. Transactions on Machine Learning Research (TMLR) (2025)
• Motion Planning Diffusion: Learning and Adapting of Robot Motions with Diffusion Models. Carvalho, J.; Le, A.T.; Baierl, M.; Koert, D.; Peters, J. IEEE Transactions on Robotics (TRO) (2025)
• Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning. Chalvatzaki, G.; Younes, A.; Nandha, D.; Le, A.T.; Ribeiro, L.F.R.; Gurevych, I. Frontiers in Robotics and AI 10 (2023).

Conference papers

• Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. Le, A.T.*; Nguyen, D.M.H.*; Nguyen, T.Q.; Diep, N.T.; Nguyen, T.; Duong-Tran, D.; Peters, J.; Shen, L.; Niepert, M.; Sonntag, D. Asian Conference on Machine Learning (ACML) (2024)
• Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. Nguyen, D.M.H.*; Lukashina, N.*; Nguyen, T.; Le, A.T.; Nguyen, T.; Ho, N.; Peters, J.; Sonntag, D.; Zaverkin, V.; Niepert, M. International Conference on Machine Learning (ICML) (2024)
• Accelerating Motion Planning via Optimal Transport. Le, A.T.; Chalvatzaki, G.; Biess, A.; Peters, J. Advances in Neural Information Processing Systems (NeurIPS) (2023)
• Hierarchical Policy Blending As Optimal Transport. Le, A.T.; Hansel, K.; Peters, J.; Chalvatzaki, G. Annual Learning for Dynamics & Control Conference (L4DC) (2023)
• Learning Implicit Priors for Motion Optimization. Le, A.T.*; Urain, J.*; Lambert, A.*; Chalvatzaki, G.; Boots, B.; Peters, J. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022)
• Learning forceful manipulation skills from multi-modal human demonstrations. Le, A.T.; Guo M.; Duijkeren, N.; Rozo, L.; Krug, R.; Kupcsik, A.G.; Buerger, M. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)

• Ph.D. in Computer Science (2022 – 2025), Intelligent Autonomous Systems Lab, Technische Universität Darmstadt, Germany. Magna cum laude.
• M.Sc. in Information Technology, Universität Stuttgart, Germany (2019 – 2021), First Class.
• B.Eng. in Electrical Engineering and Information Technology, Frankfurt University of Applied Sciences, Germany (2015 – 2019), First Class.