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

• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆104Updated 5 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆80Updated 2 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 7 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆120Updated 3 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆90Updated 5 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 6 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• amzn / metalearn-leap
  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
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆142Updated 6 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆194Updated 2 years ago
• facebookresearch / measuring-emergent-comm
  On the pitfalls of measuring emergent communication
  ☆34Updated 6 years ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆45Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 5 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 6 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• uber-research / GTN
  ☆79Updated 5 years ago
• google-research / deep_ope
  ☆89Updated last year
• google-deepmind / mc_gradients
  ☆172Updated last year
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆61Updated 6 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 5 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 7 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆132Updated 5 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• yaringal / acquisition_example
  Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function
  ☆16Updated 8 years ago