Christopher G. Lucas

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Causal Inferences

Causal Relations

Reinforcement Learning

Top Venues

SIGDIAL Conference

Publications

Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. AAMAS (2024)
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR (2024)
Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
Constructing Deep Concepts through Shallow Search. AAAI Spring Symposia (2024)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. CoRR (2023)
Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. CoRR (2023)
Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth
DreamDecompiler: Improved Bayesian Program Learning by Decompiling Amortised Knowledge. CoRR (2023)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Data-driven Prior Learning for Bayesian Optimisation. CoRR (2023)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas
Designing Optimal Behavioral Experiments Using Machine Learning. CoRR (2023)
Max Taylor-Davies, Stephanie Droop, Christopher G. Lucas
Selective imitation on the basis of reward function similarity. CoRR (2023)
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR (2023)
Max Taylor-Davies, Christopher G. Lucas
Balancing utility and cognitive cost in social representation. CoRR (2023)
Verna Dankers, Christopher G. Lucas
Non-Compositionality in Sentiment: New Data and Analyses. CoRR (2023)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimisation for Active Monitoring of Air Pollution. CoRR (2022)
Chentian Jiang, Christopher G. Lucas
Actively learning to learn causal relationships. CoRR (2022)
Verna Dankers, Christopher G. Lucas, Ivan Titov
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) (2022)
Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. CoRR (2022)
Verna Dankers, Christopher G. Lucas, Ivan Titov
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR (2022)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimisation for Active Monitoring of Air Pollution. AAAI (2022)
Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
Building Object-based Causal Programs for Human-like Generalization. CoRR (2021)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas
Bayesian Optimal Experimental Design for Simulator Models of Cognition. CoRR (2021)
Karol Stanski, Isla H. Myers-Smith, Christopher G. Lucas
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. 14 (2021)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Optimising Placement of Pollution Sensors in Windy Environments. CoRR (2020)
Arabella Sinclair, Kate McCurdy, Christopher G. Lucas, Adam Lopez, Dragan Gasevic
Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues. EDM (2019)
Arabella J. Sinclair, Rafael Ferreira, Dragan Gasevic, Christopher G. Lucas, Adam Lopez
I Wanna Talk Like You: Speaker Adaptation to Dialogue Style in L2 Practice Conversation. AIED (2) (2019)
Arabella Sinclair, Adam Lopez, Christopher G. Lucas, Dragan Gasevic
Does Ability Affect Alignment in Second Language Tutorial Dialogue? SIGDIAL Conference (2018)
Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum
Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci (2017)
Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum
Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci (2016)
Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing
The Human Kernel. CoRR (2015)
Tiffany Doan, Stephanie Denison, Christopher G. Lucas, Alison Gopnik
Learning to reason about desires: An infant training study. CogSci (2015)
Christopher G. Lucas, Kenneth Holstein, Michael Pacer
Inferring causal structure and hidden causes from event sequences. CogSci (2015)
Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing
The Human Kernel. NIPS (2015)
Christopher G. Lucas, Kenneth Holstein, Charles Kemp
Discovering hidden causes using statistical evidence. CogSci (2014)
Daphna Buchsbaum, Caren M. Walker, Alison Gopnik, Nick Chater, David Danks, Christopher G. Lucas, Charles Kemp, Eva Rafetseder, Josef Perner
What if? Counterfactual reasoning, pretense, and the role of possible worlds. CogSci (2013)
Christopher G. Lucas, Douglas Sterling, Charles Kemp
Superspace extrapolation reveals inductive biases in function learning. CogSci (2012)
Bénédicte Bes, Steven A. Sloman, Christopher G. Lucas, Eric Raufaste
Non-Bayesian Inference: Causal Structure Trumps Correlation. Cogn. Sci. 36 (7) (2012)
Saiwing Yeung, Christopher G. Lucas, Thomas L. Griffiths
Determining people's expectations about the form of causal relationships. CogSci (2012)
Christopher G. Lucas, Charles Kemp
A unified theory of counterfactual reasoning. CogSci (2012)
Anna Waisman, Christopher G. Lucas, Thomas L. Griffiths, Lucia Jacobs
A Bayesian model of navigation in squirrels. CogSci (2011)
Alan Jern, Christopher G. Lucas, Charles Kemp
Evaluating the inverse decision-making approach to preference learning. NIPS (2011)
Jane C. Hu, Christopher G. Lucas, Thomas L. Griffiths, Fei Xu
Young Toddlers' Understanding of Graded Preferences. CogSci (2011)
Christopher G. Lucas, Charles Kemp, Thomas L. Griffiths
From preferences to choices and back again: evidence for human inconsistency and its implications. CogSci (2011)
Tamar Kushnir, Alison Gopnik, Christopher G. Lucas, Laura Schulz
Inferring Hidden Causal Structure. Cogn. Sci. 34 (1) (2010)
Christopher G. Lucas, Thomas L. Griffiths
Learning the Form of Causal Relationships Using Hierarchical Bayesian Models. Cogn. Sci. 34 (1) (2010)
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett
A rational model of preference learning and choice prediction by children. NIPS (2008)
Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish
Modeling human function learning with Gaussian processes. NIPS (2008)