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Jonathan Pearce's Projects

brain-inspired-ai icon brain-inspired-ai

Code and reports from two projects; Boltzmann machine trained on the MNIST data and temporal difference learning model for navigating Morris water-maze task

calibration_library icon calibration_library

Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!

ddpg_per icon ddpg_per

Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)

proctor_analysis icon proctor_analysis

Reproducing and extending results from PrOCTOR paper (Predicting Odds of Clinical Trial Outcomes using Random forest) via gradient boosting methods

transfer_learning_rl icon transfer_learning_rl

Transfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to adapt to changes in environment dynamics and new environments

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