Alternating Optimisation and Quadrature for Robust Reinforcement Learning. - Supratik Paul; Kamil Ciosek; Michael A. Osborne; Shimon Whiteson (CoRR, 2016)

Alternating Optimisation and Quadrature for Robust Control. - Supratik Paul; Konstantinos I. Chatzilygeroudis; Kamil Ciosek; Jean-Baptiste Mouret; Michael A. Osborne; Shimon Whiteson (AAAI, 2018)

Contextual Policy Optimisation. - Supratik Paul; Michael A. Osborne; Shimon Whiteson (CoRR, 2018)

Fingerprint Policy Optimisation for Robust Reinforcement Learning. - Supratik Paul; Michael A. Osborne; Shimon Whiteson (ICML, 2019)

Learning From Demonstration in the Wild. - Feryal M. P. Behbahani; Kyriacos Shiarlis; Xi Chen; Vitaly Kurin; Sudhanshu Kasewa; Ciprian Stirbu; João Gomes; Supratik Paul; Frans A. Oliehoek; João V. Messias; Shimon Whiteson (ICRA, 2019)

Fast Efficient Hyperparameter Tuning for Policy Gradient Methods. - Supratik Paul; Vitaly Kurin; Shimon Whiteson (NeurIPS, 2019)

Fast Efficient Hyperparameter Tuning for Policy Gradients. - Supratik Paul; Vitaly Kurin; Shimon Whiteson (CoRR, 2019)

Robust Reinforcement Learning with Bayesian Optimisation and Quadrature. - Supratik Paul; Konstantinos I. Chatzilygeroudis; Kamil Ciosek; Jean-Baptiste Mouret; Michael A. Osborne; Shimon Whiteson (J. Mach. Learn. Res., 2020)

Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. - Eli Bronstein; Sirish Srinivasan; Supratik Paul; Aman Sinha 001; Matthew O'Kelly; Payam Nikdel; Shimon Whiteson (CoRL, 2022)

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. - Eli Bronstein; Mark Palatucci; Dominik Notz; Brandyn White; Alex Kuefler; Yiren Lu 001; Supratik Paul; Payam Nikdel; Paul Mougin; Hongge Chen; Justin Fu; Austin Abrams; et al. (IROS, 2022)

Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. - Aman Sinha 001; Payam Nikdel; Supratik Paul; Shimon Whiteson (CoRL, 2024)