Alternatives and similar repositories for Tabular-RL-with-Python

Users that are interested in Tabular-RL-with-Python are comparing it to the libraries listed below

• andrecianflone / thompson
  Thompson Sampling Tutorial
  ☆54Updated 6 years ago
• ChuaCheowHuan / reinforcement_learning
  My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
  ☆37Updated 2 years ago
• PacktPublishing / Mastering-Reinforcement-Learning-with-Python
  Mastering Reinforcement Learning with Python, published by Packt
  ☆157Updated 2 months ago
• PacktPublishing / Hands-on-Reinforcement-Learning-with-PyTorch
  Hands-on Reinforcement Learning with PyTorch, published by [Packt]
  ☆55Updated 4 years ago
• PacktPublishing / PyTorch-1.x-Reinforcement-Learning-Cookbook
  PyTorch 1.x Reinforcement Learning Cookbook, published by Packt
  ☆100Updated 2 years ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆78Updated 4 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆30Updated 7 years ago
• VXU1230 / Medium-Tutorials
  ☆46Updated 2 years ago
• b13302 / Practical_RL-coursera
  My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
  ☆67Updated 5 years ago
• uidilr / bayesian_irl
  Bayesian Inverse Reinforcement Learning with simple environments
  ☆20Updated 3 years ago
• DerwenAI / rllib_tutorials
  RLlib tutorials
  ☆66Updated 3 years ago
• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆81Updated 10 months ago
• matteocasolari / reinforcement-learning-an-introduction-solutions
  Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
  ☆33Updated 3 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆131Updated 2 years ago
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆56Updated 5 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆77Updated 6 years ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆139Updated 2 years ago
• intel / cerl
  ☆72Updated 2 years ago
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆47Updated 4 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• shaktikshri / adaptiveSystems
  RL CIRL Research
  ☆13Updated 2 years ago
• akhadangi / Multi-armed-Bandits
  In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…
  ☆87Updated 4 years ago
• philtabor / Reinforcement-Learning-In-Motion
  Code repository for my course on the fundamentals of reinforcement learning
  ☆94Updated 6 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 3 years ago
• kishorkukreja / SupplyChainv0_gym
  Reinforcement Learning for Optimal inventory policy
  ☆31Updated 3 years ago
• dongminlee94 / Reinforcement-Learning-Code
  A repository for code of reinforcement learning algorithms with PyTorch
  ☆30Updated 3 years ago
• quantumiracle / Cascading-Decision-Tree
  Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
  ☆38Updated 2 years ago
• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 4 years ago
• PacktPublishing / Reinforcement-Learning-with-TensorFlow
  Reinforcement Learning with TensorFlow, published by Packt
  ☆41Updated 2 years ago