Reinforcement Learning in Large Discrete Action Spaces. - Gabriel Dulac-Arnold; Richard Evans 001; Peter Sunehag; Ben Coppin (CoRR, 2015)

Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions. - Peter Sunehag; Richard Evans 001; Gabriel Dulac-Arnold; Yori Zwols; Daniel Visentin; Ben Coppin (CoRR, 2015)

Can Neural Networks Understand Logical Entailment? - Richard Evans 001; David Saxton; David Amos; Pushmeet Kohli; Edward Grefenstette (ICLR (Poster), 2018)

Learning Explanatory Rules from Noisy Data (Extended Abstract). - Richard Evans 001; Edward Grefenstette (IJCAI, 2018)

Learning Explanatory Rules from Noisy Data. - Richard Evans 001; Edward Grefenstette (J. Artif. Intell. Res., 2018)

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 19202). - Luc De Raedt; Richard Evans 001; Stephen H. Muggleton; Ute Schmid (Dagstuhl Reports, 2019)

Evaluating the Apperception Engine. - Richard Evans 001; José Hernández-Orallo; Johannes Welbl; Pushmeet Kohli; Marek J. Sergot (CoRR, 2020)

Formalizing Kant's Rules. - Richard Evans 001; Marek J. Sergot; Andrew Stephenson (J. Philos. Log., 2020)

Inductive general game playing. - Andrew Cropper; Richard Evans 001; Mark Law (Mach. Learn., 2020)

Improved protein structure prediction using potentials from deep learning. - Andrew W. Senior; Richard Evans 001; John Jumper; James Kirkpatrick; Laurent Sifre; Tim Green; Chongli Qin; Augustin Zídek; Alexander W. R. Nelson; Alex Bridgland; Hugo Penedones; Stig Petersen; et al. (Nat., 2020)

Making sense of raw input. - Richard Evans 001; Matko Bosnjak; Lars Buesing; Kevin Ellis; David P. Reichert; Pushmeet Kohli; Marek J. Sergot (Artif. Intell., 2021)

Making sense of sensory input. - Richard Evans 001; José Hernández-Orallo; Johannes Welbl; Pushmeet Kohli; Marek J. Sergot (Artif. Intell., 2021)

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 21192). - Andrew Cropper; Luc De Raedt; Richard Evans 001; Ute Schmid (Dagstuhl Reports, 2021)

Apperception. - Richard Evans 001 (Human-Like Machine Intelligence, 2022)

Making Sense of Raw Input (Extended Abstract). - Richard Evans 001; Matko Bosnjak; Lars Buesing; Kevin Ellis; David Pfau; Pushmeet Kohli; Marek J. Sergot (IJCAI, 2022)

Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals. - Piotr Mirowski; Kory W. Mathewson; Jaylen Pittman; Richard Evans 001 (CoRR, 2022)

Inductive logic programming at 30. - Andrew Cropper; Sebastijan Dumancic; Richard Evans 001; Stephen H. Muggleton (Mach. Learn., 2022)

Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals. - Piotr Mirowski; Kory W. Mathewson; Jaylen Pittman; Richard Evans 001 (CHI, 2023)