Christopher G. Lucas

57 papers A* 5A 1B 13Journal 29Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning When to Cooperate Under Heterogeneous Goals. CoRR Max Taylor-Davies, Neil Bramley, Christopher G. Lucas
2025	—	`conf`	Bayesian Optimisation Against Climate Change: Applications and Benchmarks. LION (1) Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2025	J	`jnl`	Embodied large language models enable robots to complete complex tasks in unpredictable environments. Nat. Mac. Intell. Ruaridh Mon-Williams, Gen Li, Ran Long, Wenqian Du, Christopher G. Lucas
2025	J	`jnl`	Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour. CoRR Balint Gyevnar, Christopher G. Lucas, Stefano V. Albrecht, Shay B. Cohen
2025	J	`jnl`	Partner Modelling Emerges in Recurrent Agents (But Only When It Matters). CoRR Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski, Natalia Vélez, Neil R. Bramley, Yanwei Wang, Thomas L. Griffiths, Christopher G. Lucas
2025	A*	`conf`	People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI. CHI Balint Gyevnar, Stephanie Droop, Tadeg Quillien, Shay B. Cohen, Neil R. Bramley, Christopher G. Lucas, Stefano V. Albrecht
2025	J	`jnl`	Predicting Multi-Agent Specialization via Task Parallelizability. CoRR Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil Bramley, Christopher G. Lucas, Natalia Vélez, Thomas L. Griffiths
2025	A*	`conf`	Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. ICLR Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht
2025	J	`jnl`	Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. CoRR Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Prakash Panangaden, Christopher G. Lucas, David Abel, Stefano V. Albrecht
2024	J	`jnl`	Automating the Practice of Science - Opportunities, Challenges, and Implications. CoRR Sebastian Musslick, Laura Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes
2024	A*	`conf`	Bayesian Program Learning by Decompiling Amortized Knowledge. ICML Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth
2024	A	`conf`	Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. AAMAS Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2024	—	`conf`	Constructing Deep Concepts through Shallow Search. AAAI Spring Symposia Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
2024	A*	`conf`	DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design. ICML Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2024	J	`jnl`	ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2023	J	`jnl`	Balancing utility and cognitive cost in social representation. CoRR Max Taylor-Davies, Christopher G. Lucas
2023	J	`jnl`	Bayesian Optimisation Against Climate Change: Applications and Benchmarks. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2023	J	`jnl`	Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. CoRR Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2023	J	`jnl`	Data-driven Prior Learning for Bayesian Optimisation. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2023	J	`jnl`	Designing Optimal Behavioral Experiments Using Machine Learning. CoRR Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas
2023	J	`jnl`	DreamDecompiler: Improved Bayesian Program Learning by Decompiling Amortised Knowledge. CoRR Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth
2023	J	`jnl`	How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2023	J	`jnl`	Non-Compositionality in Sentiment: New Data and Analyses. CoRR Verna Dankers, Christopher G. Lucas
2023	J	`jnl`	Selective imitation on the basis of reward function similarity. CoRR Max Taylor-Davies, Stephanie Droop, Christopher G. Lucas
2022	J	`jnl`	A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. CoRR Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2022	J	`jnl`	Actively learning to learn causal relationships. CoRR Chentian Jiang, Christopher G. Lucas
2022	A*	`conf`	Bayesian Optimisation for Active Monitoring of Air Pollution. AAAI Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2022	J	`jnl`	Bayesian Optimisation for Active Monitoring of Air Pollution. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2022	—	`conf`	Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) Verna Dankers, Christopher G. Lucas, Ivan Titov
2022	J	`jnl`	Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR Verna Dankers, Christopher G. Lucas, Ivan Titov
2021	J	`jnl`	Bayesian Optimal Experimental Design for Simulator Models of Cognition. CoRR Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas
2021	J	`jnl`	Building Object-based Causal Programs for Human-like Generalization. CoRR Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
2021	J	`jnl`	Flower Detection Using Object Analysis: New Ways to Quantify Plant Phenology in a Warming Tundra Biome. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Karol Stanski, Isla H. Myers-Smith, Christopher G. Lucas
2020	J	`jnl`	Optimising Placement of Pollution Sensors in Windy Environments. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2019	—	`conf`	I Wanna Talk Like You: Speaker Adaptation to Dialogue Style in L2 Practice Conversation. AIED (2) Arabella J. Sinclair, Rafael Ferreira, Dragan Gasevic, Christopher G. Lucas, Adam Lopez
2019	B	`conf`	Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues. EDM Arabella Sinclair, Kate McCurdy, Christopher G. Lucas, Adam Lopez, Dragan Gasevic
2018	—	`conf`	Does Ability Affect Alignment in Second Language Tutorial Dialogue? SIGDIAL Conference Arabella Sinclair, Adam Lopez, Christopher G. Lucas, Dragan Gasevic
2017	B	`conf`	Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum
2016	B	`conf`	Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum
2015	B	`conf`	Inferring causal structure and hidden causes from event sequences. CogSci Christopher G. Lucas, Kenneth Holstein, Michael Pacer
2015	B	`conf`	Learning to reason about desires: An infant training study. CogSci Tiffany Doan, Stephanie Denison, Christopher G. Lucas, Alison Gopnik
2015	—	`conf`	The Human Kernel. NIPS Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing
2015	J	`jnl`	The Human Kernel. CoRR Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing
2014	B	`conf`	Discovering hidden causes using statistical evidence. CogSci Christopher G. Lucas, Kenneth Holstein, Charles Kemp
2013	B	`conf`	What if? Counterfactual reasoning, pretense, and the role of possible worlds. CogSci Daphna Buchsbaum, Caren M. Walker, Alison Gopnik, Nick Chater, David Danks, Christopher G. Lucas, Charles Kemp, Eva Rafetseder, Josef Perner
2012	B	`conf`	A unified theory of counterfactual reasoning. CogSci Christopher G. Lucas, Charles Kemp
2012	B	`conf`	Determining people's expectations about the form of causal relationships. CogSci Saiwing Yeung, Christopher G. Lucas, Thomas L. Griffiths
2012	J	`jnl`	Non-Bayesian Inference: Causal Structure Trumps Correlation. Cogn. Sci. Bénédicte Bes, Steven A. Sloman, Christopher G. Lucas, Eric Raufaste
2012	B	`conf`	Superspace extrapolation reveals inductive biases in function learning. CogSci Christopher G. Lucas, Douglas Sterling, Charles Kemp
2011	B	`conf`	A Bayesian model of navigation in squirrels. CogSci Anna Waisman, Christopher G. Lucas, Thomas L. Griffiths, Lucia Jacobs
2011	—	`conf`	Evaluating the inverse decision-making approach to preference learning. NIPS Alan Jern, Christopher G. Lucas, Charles Kemp
2011	B	`conf`	From preferences to choices and back again: evidence for human inconsistency and its implications. CogSci Christopher G. Lucas, Charles Kemp, Thomas L. Griffiths
2011	B	`conf`	Young Toddlers' Understanding of Graded Preferences. CogSci Jane C. Hu, Christopher G. Lucas, Thomas L. Griffiths, Fei Xu
2010	J	`jnl`	Inferring Hidden Causal Structure. Cogn. Sci. Tamar Kushnir, Alison Gopnik, Christopher G. Lucas, Laura Schulz
2010	J	`jnl`	Learning the Form of Causal Relationships Using Hierarchical Bayesian Models. Cogn. Sci. Christopher G. Lucas, Thomas L. Griffiths
2008	—	`conf`	A rational model of preference learning and choice prediction by children. NIPS Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett
2008	—	`conf`	Modeling human function learning with Gaussian processes. NIPS Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish