Alternatives and similar repositories for hierarchical-skill-acquisition:

Users that are interested in hierarchical-skill-acquisition are comparing it to the libraries listed below

• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 4 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 7 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• geyang / e-maml
  E-MAML, and RL-MAML baseline implemented in Tensorflow v1
  ☆16Updated 5 years ago
• VincentYu68 / policy_transfer
  ☆27Updated 4 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 3 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆144Updated 7 years ago
• yusukeurakami / plan2explore-pytorch
  ☆42Updated 4 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• Hwhitetooth / lirpg
  ☆61Updated 6 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆137Updated 2 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆33Updated 6 years ago
• tesatory / selfplay
  Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
  ☆14Updated 6 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆37Updated 5 years ago
• joonleesky / train-procgen-pytorch
  Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.
  ☆30Updated 4 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 3 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆63Updated 5 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆94Updated 2 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
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆68Updated 5 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆60Updated 5 years ago
• jxu43 / replication-mbpo
  NeurIPS Reproducibility Challenge 2019
  ☆20Updated 5 years ago
• dibyaghosh / gcsl
  Code for "Learning to Reach Goals via Iterated Supervised Learning"
  ☆77Updated 2 years ago
• thanard / me-trpo
  ☆91Updated last year
• bhairavmehta95 / data-efficient-hrl
  Implementation of Data Efficient Reinforcement Learning in Pytorch
  ☆20Updated 5 years ago
• google-deepmind / active_ops
  ☆32Updated 8 months ago