Deep Reinforcement Learning Implementations

This repository contains my implementations of various Deep Reinforcement Learning (DRL) concepts and exercises.

Each file includes different models, algorithms, or experiments related to DRL.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
.gitignore		.gitignore
DNN_CIFAR10.ipynb		DNN_CIFAR10.ipynb
DemonAttack.ipynb		DemonAttack.ipynb
LeNet-5 with ReLU.ipynb		LeNet-5 with ReLU.ipynb
Readme.md		Readme.md
basic_neuron.py		basic_neuron.py
cartpole.ipynb		cartpole.ipynb
cartpole_agent.gif		cartpole_agent.gif
credit_assignment.ipynb		credit_assignment.ipynb
markov_decision_processes.ipynb		markov_decision_processes.ipynb
mlp_xor.py		mlp_xor.py
perceptron_on_linearly_separable_data.py		perceptron_on_linearly_separable_data.py
policy_gradient.ipynb		policy_gradient.ipynb
pyproject.toml		pyproject.toml
simple_perceptron.py		simple_perceptron.py

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