Lucas, Christopher G.

1. Automating the Practice of Science -- Opportunities, Challenges, and Implications
   2024/08/27 by Musslick, Sebastian, Bartlett, Laura K., Chandramouli, Suyog H. +11 · 6 citations
   #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph)
2. Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
   2025/03/08 by Garcin, Samuel, McInroe, Trevor, Castro, Pablo Samuel +4 · 7 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation
   2022/05/30 by Verna Dankers, Christopher G. Lucas, Dankers, Verna +3 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
4. Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
   2023/02/21 by Gyevnar, Balint, Wang, Cheng, Lucas, Christopher G. +2 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.9 #Robotics (cs.RO)
5. Bayesian Program Learning by Decompiling Amortized Knowledge
   2023/06/13 by Alessandro B. Palmarini, Palmarini, Alessandro B., Christopher G. Lucas +3 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Software Engineering (cs.SE) #Software Engineering Research
6. Modeling infant object perception as program induction
   2023/08/28 by Jan-Philipp Fränken, Christopher G. Lucas, Fränken, Jan-Philipp +5 · 1 citation
   Psychology · #Child and Animal Learning Development
7. Non-Compositionality in Sentiment: New Data and Analyses
   2023/10/31 by Dankers, Verna, Lucas, Christopher G. · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
8. DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
   2024/02/05 by Samuel Garcin, Garcin, Samuel, J. Doran +7 · 1 citation
   Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neuroscience and Neural Engineering
9. Predicting Multi-Agent Specialization via Task Parallelizability
   2025/03/19 by Elizabeth Mieczkowski, Ruaridh Mon-Williams, Mieczkowski, Elizabeth +11 · 1 voice · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #cs.AI #cs.MA
10. Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour
    2025/05/23 by Bálint Gyevnár, Gyevnár, Bálint, Christopher G. Lucas +5 · 2 voices · 1 citation
    #cs.AI