Alternatives and similar repositories for rl

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

• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆90Updated 6 years ago
• xuwd11 / cs294-112_hws
  My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning
  ☆94Updated 6 years ago
• berkeleydeeprlcourse / homework_fall2019
  ☆184Updated 4 years ago
• google-research / rl-reliability-metrics
  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …
  ☆164Updated 2 years ago
• brett-daley / dqn-lambda
  NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
  ☆24Updated last year
• hiwonjoon / ICML2019-TREX
  ☆86Updated 4 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆209Updated 4 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆118Updated 3 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆46Updated 5 years ago
• jachiam / rl-intro
  ☆143Updated 7 years ago
• Silvicek / distributional-dqn
  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…
  ☆133Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆88Updated 7 years ago
• uber-research / atari-model-zoo
  A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…
  ☆202Updated 5 years ago
• dbobrenko / awesome-rl
  Awesome RL: Papers, Books, Codes, Benchmarks
  ☆119Updated 2 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆173Updated 4 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆156Updated 3 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆74Updated 8 years ago
• Huixxi / CS234-Reinforcement-Learning-Winter-2019
  My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
  ☆170Updated 2 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆139Updated 3 years ago
• JKCooper2 / gym-bandits
  Bandits Environments for the OpenAI Gym
  ☆89Updated 6 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• nikonikolov / rltf
  Reinforcement Learning implementations and research prototyping in TensorFlow
  ☆81Updated 6 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 7 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated last year
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆269Updated 6 years ago
• implementation-matters / code-for-paper
  ☆114Updated 6 years ago
• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆471Updated 2 years ago
• inoryy / Deep-RL-Bootcamp-Labs
  Solutions to the Deep RL Bootcamp labs
  ☆43Updated 8 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆40Updated 3 years ago