Asynchronous Method for Deep Reinforcement Learning
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Updated
Oct 18, 2017 - Python
Asynchronous Method for Deep Reinforcement Learning
Implementation of something related to Neural Episodic Control in Tensorflow.
My Code Implementation For RC2020
A TensorFlow implementation of DeepMind's WaveNet paper
Deep Learning Lecture Notes and Code
RocAlphaGo with date of death of Samatha Smith in Python 3.x
This repository is the implementation of the paper Semi-Supervised Classification With Graph Convolutional Networks (aka GCN) by Kipf et al., ICLR 2017.
An implementation of DeepMind's Deep-Q-Network agent to play the notorious FlappyBird game.
this is my unfinished engine. using the MCαβ algorithm.
Implementation based on DeepMind's paper: Neural Episodic Control using tensorflow.
Creating a mini version of Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
PyTorch Implementation of Relation Network on Sort-of-CLEVR Dataset
Summaries of Reinforcement Learning papers.
Some experiments to learn Jax/Haiku.
This project implements an AI that learns the Snake game through Deep Q-Learning. It uses Fast Forward and CNN-based training to learn the optimal game strategy and visualises the learning process.
Delusions in sequence models for interaction and control
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