Implementation based on DeepMind's paper: Neural Episodic Control using tensorflow.
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Updated
Mar 14, 2017 - Python
Implementation based on DeepMind's paper: Neural Episodic Control using tensorflow.
A TensorFlow implementation of DeepMind's WaveNet paper
Implementation of something related to Neural Episodic Control in Tensorflow.
Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
Asynchronous Method for Deep Reinforcement Learning
Deep Learning track / hackdays
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Implementing reinforcement-learning algorithms for pysc2 -environment
A simplified version of Shogi with the AI is trained by alpha-zero-type training method
An Implementation of the AlphaZero Paper
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
This's an implementation of deepmind Visual Interaction Networks paper using pytorch
Deepmind Recurrent Environment Simulators paper implementation in tensorflow
TensorFlow implementation of the two 1-step methods from "Asynchronous Deep Reinforcement Learning Methods" by Mnih et. al., 2016 for OpenAIs Gym-environment.
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
An implementation of the Differential Neural Computer (DNC) in TensorFlow
Unofficial Implementation of Google Deepmind's paper `Objects that Sound`
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