Narrowing of the Cone-of-Direct Gaze Through Reinforcement Learning. - Sam Blakeman; Denis Mareschal (CogSci, 2017)

Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning. - Sam Blakeman; Denis Mareschal (CoRR, 2020)

A complementary learning systems approach to temporal difference learning. - Sam Blakeman; Denis Mareschal (Neural Networks, 2020)

Understanding efficient reinforcement learning in humans and machines. - Sam Blakeman (2021)

Fast and Slow Learning in Human-Like Intelligence. - Denis Mareschal; Sam Blakeman (Human-Like Machine Intelligence, 2022)

Explanations from Deep Reinforcement Learning Using Episodic Memories. - Sam Blakeman; Denis Mareschal (HLC, 2022)

Generating Explanations from Deep Reinforcement Learning Using Episodic Memory. - Sam Blakeman; Denis Mareschal (CoRR, 2022)

Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning. - Sam Blakeman; Denis Mareschal (Neural Networks, 2022)

Federated Transformed Learning for a Circular, Secure, and Tiny AI. - Weisi Guo; Schyler C. Sun; Bin Li 002; Sam Blakeman (CoRR, 2023)