sksq96 / pytorch-mdn
Mixture Density Networks (MDN) implemented in PyTorch
☆65Updated 4 years ago
Alternatives and similar repositories for pytorch-mdn
Users that are interested in pytorch-mdn are comparing it to the libraries listed below
Sorting:
- Mixture Density Networks for PyTorch☆220Updated 3 months ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Mixture density network implemented in PyTorch.☆144Updated last year
- Replicating Imagination-Augmented Agents for Deep Reinforcement Learning☆20Updated 7 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆160Updated 2 years ago
- Guided-Meta Policy Search☆40Updated 2 years ago
- ☆68Updated 3 years ago
- Deep Variational Reinforcement Learning☆135Updated 2 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 4 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago
- Bayesian Neural Network in PyTorch☆87Updated last year
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Meta Reinforcement Learning Experiments☆34Updated 7 years ago
- EEN: Error Encoding Network☆66Updated 7 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- An exploration of mixture density networks☆34Updated 7 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 5 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- ☆54Updated 7 years ago
- ☆86Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago