Alternatives and similar repositories for rl_mlss_2020:

Users that are interested in rl_mlss_2020 are comparing it to the libraries listed below

• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 4 years ago
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 4 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆89Updated 4 years ago
• mtrazzi / two-step-task
  Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…
  ☆57Updated 5 years ago
• nikonikolov / rltf
  Reinforcement Learning implementations and research prototyping in TensorFlow
  ☆82Updated 5 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 3 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆93Updated 4 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 4 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 6 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆29Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 3 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆18Updated 5 years ago
• ajgupta93 / d4pg-pytorch
  In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.
  ☆19Updated 6 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆29Updated 5 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 2 years ago
• siemens / policy_search_bb-alpha
  ☆68Updated 6 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆113Updated 5 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• reinforcement-learning-kr / reinforcement-learning-pytorch
  Minimal and Clean Reinforcement Learning Examples in PyTorch
  ☆42Updated 6 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 5 years ago