andrewk1 / pytorch-deep-bayesian-banditsLinks
PyTorch port and extension of the Deep Bayesian Bandits Library
☆42Updated 6 years ago
Alternatives and similar repositories for pytorch-deep-bayesian-bandits
Users that are interested in pytorch-deep-bayesian-bandits are comparing it to the libraries listed below
Sorting:
- Code for "Neural causal learning from unknown interventions"☆105Updated 5 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆190Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- ☆80Updated 2 years ago
- References at the Intersection of Causality and Reinforcement Learning☆89Updated 5 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- ☆83Updated 5 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 6 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- ☆171Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Stein Variational Policy Gradient for REINFORCE☆18Updated 8 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 7 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 5 years ago
- Hypergradient descent☆148Updated last year
- learning to search in pytorch☆110Updated 5 years ago
- Retrieve information from DBLP and update BibTex files automatically☆54Updated 3 years ago
- ☆67Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 6 years ago
- ☆65Updated last year
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆90Updated 6 years ago