Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. - Shikha Surana; Bryan Lim; Antoine Cully (ICRA, 2023)

Combinatorial Optimization with Policy Adaptation using Latent Space Search. - Félix Chalumeau; Shikha Surana; Clément Bonnet; Nathan Grinsztajn; Arnu Pretorius; Alexandre Laterre; Tom Barrett (NeurIPS, 2023)

Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization. - Nathan Grinsztajn; Daniel Furelos-Blanco; Shikha Surana; Clément Bonnet; Tom Barrett (NeurIPS, 2023)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Vincent Coyette; Paul Duckworth; Laurence I. Midgley; Tristan Kalloniatis; Sasha Abramowitz; Cemlyn N. Waters; Andries P. Smit; Nathan Grinsztajn; et al. (CoRR, 2023)

Combinatorial Optimization with Policy Adaptation using Latent Space Search. - Félix Chalumeau; Shikha Surana; Clément Bonnet; Nathan Grinsztajn; Arnu Pretorius; Alexandre Laterre; Thomas D. Barrett (CoRR, 2023)

Multi-Objective Quality-Diversity for Crystal Structure Prediction. - Hannah Janmohamed; Marta Wolinska; Shikha Surana; Thomas Pierrot; Aron Walsh; Antoine Cully (GECCO, 2024)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Sasha Abramowitz; Paul Duckworth; Vincent Coyette; Laurence Illing Midgley; Elshadai Tegegn; Tristan Kalloniatis; Omayma Mahjoub; Matthew Macfarlane; et al. (ICLR, 2024)

Metalic: Meta-Learning In-Context with Protein Language Models. - Jacob Beck; Shikha Surana; Manus McAuliffe; Oliver Bent; Thomas D. Barrett; Juan Jose Garau-Luis; Paul Duckworth (ICLR, 2025)

Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking. - Shikha Surana; Nathan Grinsztajn; Timothy Atkinson 003; Paul Duckworth; Thomas D. Barrett (CoRR, 2025)