higgsfield / interaction_network_pytorchLinks
Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
☆133Updated 7 years ago
Alternatives and similar repositories for interaction_network_pytorch
Users that are interested in interaction_network_pytorch are comparing it to the libraries listed below
Sorting:
- CompILE: Compositional Imitation Learning and Execution (ICML 2019)☆112Updated 6 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 3 years ago
- Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆158Updated 8 years ago
- ☆85Updated 6 years ago
- The Differentiable Cross-Entropy Method☆124Updated 5 years ago
- ☆119Updated 6 years ago
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆42Updated 2 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 5 years ago
- ☆78Updated 4 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 5 years ago
- ☆51Updated 6 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆129Updated 6 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Codes for paper "Flexible Neural Representation for Physics Prediction".☆45Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- A differentiable LCP physics engine in PyTorch.☆308Updated 4 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- Implementation of the paper "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models"☆24Updated 7 years ago
- ☆33Updated 7 years ago
- [ICRA 2019] Propagation Networks for Model-based Control Under Partial Observation☆49Updated 6 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- Augmented environments with RL☆103Updated 6 years ago
- Contrastive Learning of Structured World Models☆394Updated 5 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆35Updated 5 years ago