Alternatives and similar repositories for DHER

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

• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆35Updated 6 years ago
• thanard / me-trpo
  ☆91Updated last year
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 6 years ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆64Updated 5 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• dingyiming0427 / goalgail
  accompanying code for neurips submission "Goal-conditioned Imitation Learning"
  ☆69Updated 2 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆50Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆150Updated 4 years ago
• Hwhitetooth / lirpg
  ☆61Updated 7 years ago
• florensacc / rllab-curriculum
  ☆135Updated 6 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆73Updated 2 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆95Updated 5 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆37Updated 4 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆50Updated 6 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆63Updated 5 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆98Updated 4 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• KamyarGh / rl_swiss
  ☆66Updated 5 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆70Updated last year
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆22Updated 5 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 5 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆94Updated 2 years ago
• navuboy / gail_gym
  Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
  ☆89Updated 6 years ago