Richard Evans

According to our database, Richard Evans authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals.

Piotr Mirowski, Kory W. Mathewson, Jaylen Pittman, Richard Evans

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Inductive logic programming at 30.

Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton

Mach. Learn., 2022

Making Sense of Raw Input (Extended Abstract).

Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Apperception.

Richard Evans

Proceedings of the Human-Like Machine Intelligence., 2022

2021

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 21192).

Andrew Cropper, Luc De Raedt, Richard Evans, Ute Schmid

Dagstuhl Reports, 2021

Making sense of sensory input.

Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot

Artif. Intell., 2021

Making sense of raw input.

Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David P. Reichert, Pushmeet Kohli, Marek J. Sergot

Artif. Intell., 2021

2020

Improved protein structure prediction using potentials from deep learning.

Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis

Nat., 2020

Inductive general game playing.

Andrew Cropper, Richard Evans, Mark Law

Mach. Learn., 2020

Formalizing Kant's Rules.

Richard Evans, Marek J. Sergot, Andrew Stephenson

J. Philos. Log., 2020

Evaluating the Apperception Engine.

Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot

CoRR, 2020

2019

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 19202).

Luc De Raedt, Richard Evans, Stephen H. Muggleton, Ute Schmid

Dagstuhl Reports, 2019

2018

Learning Explanatory Rules from Noisy Data.

Richard Evans, Edward Grefenstette

J. Artif. Intell. Res., 2018

Learning Explanatory Rules from Noisy Data (Extended Abstract).

Richard Evans, Edward Grefenstette

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Can Neural Networks Understand Logical Entailment?

Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette

Proceedings of the 6th International Conference on Learning Representations, 2018

2015

Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions.

Peter Sunehag, Richard Evans, Gabriel Dulac-Arnold, Yori Zwols, Daniel Visentin, Ben Coppin

CoRR, 2015

Reinforcement Learning in Large Discrete Action Spaces.

Gabriel Dulac-Arnold, Richard Evans, Peter Sunehag, Ben Coppin

CoRR, 2015