SamBlakeman

PetAdoption

Pet adoption kaggle competition

air_pollution_estimation

05_TestingGrounds

Hunger games inspired FPS

CTDL

Code for 'A Complementary Learning Systems Approach to Temporal Difference Learning' (Blakeman and Mareschal, 2020) (https://www.sciencedirect.com/science/article/pii/S0893608019303338?via%3Dihub)

kaggle-connectomics

Connectomics

MachineLearningLibrary

OOP-DQN-in-tensorflow

Simple implementation of DQN using tensorflow

ReinforcementLearningAnIntroduction

Programming exercises from the book by Sutton and Barto

SPA

Code for 'Selective Particle Attention: Rapidly and Flexibly Selecting Features for Deep Reinforcement Learning' (Blakeman and Mareschal, 2022) (https://www.sciencedirect.com/science/article/pii/S0893608022000934)

04_BattleTank

Open world head-to-head tank fight with simple AI, terrain and advanced control systems in Unreal 4

SamBlakeman/OOP-DQN-in-tensorflow

Simple implementation of DQN using tensorflow

SamBlakeman/05_TestingGrounds

Hunger games inspired FPS

SamBlakeman/CTDL

Code for 'A Complementary Learning Systems Approach to Temporal Difference Learning' (Blakeman and Mareschal, 2020) (https://www.sciencedirect.com/science/article/pii/S0893608019303338?via%3Dihub)

SamBlakeman/kaggle-connectomics

Connectomics

SamBlakeman/MachineLearningLibrary

SamBlakeman/ReinforcementLearningAnIntroduction

Programming exercises from the book by Sutton and Barto

SamBlakeman/SPA

Code for 'Selective Particle Attention: Rapidly and Flexibly Selecting Features for Deep Reinforcement Learning' (Blakeman and Mareschal, 2022) (https://www.sciencedirect.com/science/article/pii/S0893608022000934)