arayabrain / GenerativeControlLinks
Code for a generative controller for the AI Gym cartpole task
☆15Updated 8 years ago
Alternatives and similar repositories for GenerativeControl
Users that are interested in GenerativeControl are comparing it to the libraries listed below
Sorting:
- ☆16Updated 8 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Updated 8 years ago
- RNNprop☆36Updated 8 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆16Updated 9 years ago
- Analogs of Linguistic Structure in Deep Representations☆19Updated 8 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- ☆15Updated 8 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 7 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 9 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- ☆20Updated 9 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆43Updated 9 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 4 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Learning RNN Hierarchies☆44Updated 9 years ago
- ☆11Updated 8 years ago
- ☆17Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- ☆26Updated 6 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago