Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. - Robert Pinsler; Riad Akrour; Takayuki Osa; Jan Peters 001; Gerhard Neumann (ICRA, 2018)

Factored Contextual Policy Search with Bayesian optimization. - Robert Pinsler; Péter Karkus; Andras Gabor Kupcsik; David Hsu; Wee Sun Lee (ICRA, 2019)

Bayesian Batch Active Learning as Sparse Subset Approximation. - Robert Pinsler; Jonathan Gordon 003; Eric T. Nalisnick; José Miguel Hernández-Lobato (NeurIPS, 2019)

Reinforcement Learning for Molecular Design Guided by Quantum Mechanics. - Gregor N. C. Simm; Robert Pinsler; José Miguel Hernández-Lobato (ICML, 2020)

Symmetry-Aware Actor-Critic for 3D Molecular Design. - Gregor N. C. Simm; Robert Pinsler; Gábor Csányi; José Miguel Hernández-Lobato (ICLR, 2021)

Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. - Marloes Arts; Victor Garcia Satorras; Chin-Wei Huang; Daniel Zügner; Marco Federici; Cecilia Clementi; Frank Noé; Robert Pinsler; Rianne van den Berg (CoRR, 2023)

MatterGen: a generative model for inorganic materials design. - Claudio Zeni; Robert Pinsler; Daniel Zügner; Andrew Fowler; Matthew Horton; Xiang Fu 005; Sasha Shysheya; Jonathan Crabbé; Lixin Sun; Jake Smith; Ryota Tomioka; Tian Xie 002 (CoRR, 2023)

UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. - Gongbo Zhang; Yanting Li; Renqian Luo; Pipi Hu; Zeru Zhao; Lingbo Li; Guoqing Liu; Zun Wang; Ran Bi; Kaiyuan Gao; Liya Guo; Yu Xie; et al. (CoRR, 2025)

A generative model for inorganic materials design. - Claudio Zeni; Robert Pinsler; Daniel Zügner; Andrew Fowler; Matthew Horton; Xiang Fu 005; Zilong Wang; Aliaksandra Shysheya; Jonathan Crabbé; Shoko Ueda; Roberto Sordillo; Lixin Sun; et al. (Nat., 2025)