Lucas, Christopher G.

10 publications

NeurIPS 2025 Partner Modelling Emerges in Recurrent Agents (But Only When It Matters) Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski, Natalia Vélez, Neil R Bramley, Yanwei Wang, Thomas L. Griffiths, Christopher G. Lucas
ICLR 2025 Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V Albrecht
ICML 2024 Bayesian Program Learning by Decompiling Amortized Knowledge Alessandro B. Palmarini, Christopher G. Lucas, Siddharth N
ICML 2024 DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
NeurIPSW 2023 Data-Driven Prior Learning for Bayesian Optimisation Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
NeurIPSW 2023 How the Level Sampling Process Impacts Zero-Shot Generalisation in Deep Reinforcement Learning Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
AAAI 2022 Bayesian Optimisation for Active Monitoring of Air Pollution Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
NeurIPSW 2021 Bayesian Optimal Experimental Design for Simulator Models of Cognition Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas
NeurIPS 2011 Evaluating the Inverse Decision-Making Approach to Preference Learning Alan Jern, Christopher G. Lucas, Charles Kemp
NeurIPS 2008 A Rational Model of Preference Learning and Choice Prediction by Children Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett