runopti / Learning-To-LearnLinks
TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
☆84Updated 8 years ago
Alternatives and similar repositories for Learning-To-Learn
Users that are interested in Learning-To-Learn are comparing it to the libraries listed below
Sorting:
- Train an RL agent to play multiple Atari games at once☆69Updated 8 years ago
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆67Updated 8 years ago
- Reinforcement learning environments for Torch7☆91Updated 8 years ago
- Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"☆114Updated 9 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 9 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆55Updated 8 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆207Updated 9 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆52Updated 6 years ago
- Implementation of A Distributional Perspective on Reinforcement Learning☆35Updated 7 years ago
- ☆101Updated 8 years ago
- ☆97Updated 8 years ago
- Implementations of deep RL papers and random experimentation☆176Updated 7 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- Implementation of "Control of Memory, Active Perception, and Action in Minecraft"☆86Updated 8 years ago
- ☆64Updated 8 years ago
- Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …☆84Updated 9 years ago
- ☆159Updated 7 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 8 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆111Updated 8 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆277Updated 7 years ago
- Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)☆172Updated 8 years ago
- Universal library for deep reinforcement learning.☆38Updated 9 years ago
- ☆92Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆150Updated 9 months ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- supercell☆192Updated 7 years ago