Some notebooks
Contains the Jupyter Notebook made for a FloydHub article on Q-Learning
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
Small tools, notebooks, code snippets for the Keras Deep Learning library
A reference folder mapping some of my deep-learning repositories: RNN, GAN, DCGAN, seq2seq, Transfer learning, Autoencoders, Semi-supervised learning
This repository contains a Jupyter Notebook with an implemenation of a Q-Learning Agent, which learns to solve the n-Chain OpenAI Gym environment
Some coding stuff from various machine learning books
a collection of python notebooks using RL agents to play Atari games in OpenAI gym environments
Experimental codes and notebooks coded while learning RL.
Jupyter notebooks implementing Reinforcement Learning algorithms in Numpy and Tensorflow
The notebook contents implementation of solution of OpenAI gym Acrobot-v1 problem.
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