djbyrne/DQN_Tensorflow

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Created about 6 years ago
Updated about 6 years ago

djbyrne/DQN_Tensorflow

djbyrne

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A jupyter notebook implementing the DQN model in VizDoom

Landing-A-Rocket-With-Simple-Reinforcement-Learning

This repo gives an example of using a simple method of reinforcement learning to beat the Lunar Lander environment. The agent uses a combination of CEM and neural networks using the pytorch library.

Jupyter Notebook

TD3

Implementation of the TD3 algorithm written in Pytorch

Jupyter Notebook

MonteCarlo

Implementation of first visit Monte Carlo for prediction and control

Jupyter Notebook

core_rl

Repo of core reinforcement learning algorithms and explanations using pytorch lightning

CNN-On-The-Cloud-

Code used to build an image classifier for the Fashion MNIST dataset. Built using the Keras library and trained on the FloydHub cloud platform

Jupyter Notebook

DDPG_Reacher

Experiment to implement the DDPG algorithm to train a mechanical arm to reach for a moving target inside the unity ML-Agents virtual environment

Jupyter Notebook

SAC

Pytorch implementation of the Soft Actor Critic Algorithm

Jupyter Notebook

Neural-Network-From-Scratch-Tumour-Diagnosis

This notebook goes through how to build a neural network using only numpy. The network classifies tumours, identifying if they are malignant or benign. This notebook uses the Breast Cancer Wisconsin dataset.

Jupyter Notebook

MountainCar_TD_Lambda

Solution for mountain car environment using TD Lambda eligibility trace and RBF cells

awesome-prompt-engineering

repo containing useful prompt engineering templates that I use for coding, research and productivity

MADDPG

Final project for the Udacity RL nano degree implementing Multi Agent Deep Deterministic Policy Gradients