Sam Blakeman

According to our database, Sam Blakeman authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Federated Transformed Learning for a Circular, Secure, and Tiny AI.

Weisi Guo, Schyler C. Sun, Bin Li, Sam Blakeman

CoRR, 2023

2022

Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning.

Sam Blakeman, Denis Mareschal

Neural Networks, 2022

Generating Explanations from Deep Reinforcement Learning Using Episodic Memory.

Sam Blakeman, Denis Mareschal

CoRR, 2022

Explanations from Deep Reinforcement Learning Using Episodic Memories.

Sam Blakeman, Denis Mareschal

Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

Fast and Slow Learning in Human-Like Intelligence.

Denis Mareschal, Sam Blakeman

Proceedings of the Human-Like Machine Intelligence., 2022

2021

Understanding efficient reinforcement learning in humans and machines.

Sam Blakeman

PhD thesis, 2021

2020

A complementary learning systems approach to temporal difference learning.

Sam Blakeman, Denis Mareschal

Neural Networks, 2020

Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning.

Sam Blakeman, Denis Mareschal

CoRR, 2020

2017

Narrowing of the Cone-of-Direct Gaze Through Reinforcement Learning.

Sam Blakeman, Denis Mareschal

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017