Antoine Grosnit
Research Interests
Reinforcement Learning, Imitation Learning, Race Car Simulation
Affiliations
Contact
antoine.grosnit@robot-learning.de
4 Hartham Close, London N79JH, UK
Antoine Grosnit joins the Intelligent Autonomous Systems Group as an external Ph.D. student in cooperation with Huawei in March 2023.
Publications
- Dreczkowski, K.; Grosnit, A.; Bou Ammar, H. (2023). Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization, Advances in Neural Information Processing Systems (NIPS / NeurIPS).
- Maraval, A.; Zimmer, M.; Grosnit, A.; Bou Ammar, H. (2023). End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes, Advances in Neural Information Processing Systems (NIPS / NeurIPS).
- Cowen-Rivers, A.; Lyu, W.; Tutunov, R.; Wang, Z.; Grosnit, A.; Griffiths, R.R.; Maraval, A.; Jianye, H.; Wang, J.; Peters, J.; Bou Ammar, H. (2022). HEBO: An Empirical Study of Assumptions in Bayesian Optimisation, Journal of Artificial Intelligence Research, 74, pp.1269-1349.