rfeinman / learning-to-learnLinks
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
☆22Updated 6 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:
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- ☆80Updated last year
- E2C implementation in PyTorch☆43Updated 8 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 7 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 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
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆125Updated 6 years ago
- Solving reinforcement learning tasks which require language and vision☆33Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Variational Reinforcement Learning☆16Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Lagrangian VAE☆28Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Updated 6 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Retrieve information from DBLP and update BibTex files automatically☆54Updated 3 years ago
- ☆78Updated 4 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 11 months ago
- ☆27Updated 4 years ago
- ☆86Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies☆15Updated 6 years ago