Alternatives and similar repositories for mgym:

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

• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 5 years ago
• WilsonWangTHU / POPLIN
  ☆97Updated 2 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 7 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 5 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 3 years ago
• wendelinboehmer / dcg
  ☆74Updated 9 months ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 4 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆67Updated 4 years ago
• thanard / me-trpo
  ☆91Updated last year
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 6 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆71Updated 2 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆93Updated 2 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• tesatory / hsp
  Hierarchical Self-Play
  ☆21Updated 6 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆26Updated 3 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 5 years ago
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆22Updated 5 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• chloechsu / revisiting-ppo
  ☆47Updated 4 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆134Updated 2 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆39Updated 6 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated 6 months ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago