Alternatives and similar repositories for optimization-notes

Users that are interested in optimization-notes are comparing it to the libraries listed below

• JohnLangford / RL_acid
  Some hard problems for reinforcement learning.
  ☆32Updated 6 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆25Updated 6 years ago
• Breakend / RLSSContinuousControlTutorial
  Tutorial on continuous control at Reinforcement Learning Summer School 2017.
  ☆34Updated 7 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• largelymfs / svpg_REINFORCE
  Stein Variational Policy Gradient for REINFORCE
  ☆18Updated 7 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• strin / curriculum-deep-RL
  Design good curriculums for deep reinforcement learning
  ☆14Updated 9 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆152Updated 7 years ago
• justinjfu / doodad
  A job launching library for docker, EC2, GCP, etc.
  ☆57Updated 3 years ago
• brendenlake / AAI-site
  NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
  ☆131Updated 6 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• rll / deeprlhw2
  ☆24Updated 9 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• DanielTakeshi / imitation
  ☆13Updated 7 years ago
• eringrant / spirl-readings
  A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.
  ☆13Updated 4 years ago
• google-deepmind / dm_hard_eight
  ☆85Updated 4 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• ICLR / iclr.github.io
  ☆83Updated 4 years ago
• Scitator / Run-Skeleton-Run
  Reason8.ai PyTorch solution for NIPS RL 2017 challenge
  ☆84Updated 5 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• tilarids / reinforcement_learning_playground
  Playground for reinforcement learning algorithms implemented in TensorFlow
  ☆16Updated 8 years ago
• rachit-dubey / humanRL_prior_games
  [ICML-18] Codes for the custom games we built to compare RL agents with humans
  ☆65Updated 6 years ago
• iosband / TabulaRL
  ☆65Updated last year
• gokererdogan / Notebooks
  IPython Notebooks on various things
  ☆14Updated 7 years ago
• wgrathwohl / BackpropThroughTheVoidRL
  RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…
  ☆38Updated 7 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago