Sam Blakeman

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 8

Top Topics

Function Approximation

Temporal Difference

Content Addressable

Reinforcement Learning

Top Venues

Neural Networks

Publications

Weisi Guo, Schyler C. Sun, Bin Li, Sam Blakeman
Federated Transformed Learning for a Circular, Secure, and Tiny AI. CoRR (2023)
Sam Blakeman, Denis Mareschal
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning. Neural Networks 150 (2022)
Sam Blakeman, Denis Mareschal
Explanations from Deep Reinforcement Learning Using Episodic Memories. HLC (2022)
Sam Blakeman, Denis Mareschal
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory. CoRR (2022)
Sam Blakeman, Denis Mareschal
A complementary learning systems approach to temporal difference learning. Neural Networks 122 (2020)
Sam Blakeman, Denis Mareschal
Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning. CoRR (2020)
Sam Blakeman, Denis Mareschal
A Complementary Learning Systems Approach to Temporal Difference Learning. CoRR (2019)
Sam Blakeman, Denis Mareschal
Narrowing of the Cone-of-Direct Gaze Through Reinforcement Learning. CogSci (2017)