Alternatives and similar repositories for hierarchical-skill-acquisition:

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

• hiwonjoon / ICML2019-TREX
  ☆82Updated 3 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 7 years ago
• geyang / e-maml
  E-MAML, and RL-MAML baseline implemented in Tensorflow v1
  ☆16Updated 5 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• russellmendonca / maesn_suite
  ☆42Updated 6 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆67Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆144Updated 6 years ago
• Hwhitetooth / lirpg
  ☆60Updated 6 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆45Updated last year
• jinnaiyuu / Optimal-Options-ICML-2019
  Code for generating options for planning and reinforcement learning
  ☆11Updated 4 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆33Updated 6 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆37Updated 5 years ago
• jxu43 / replication-mbpo
  NeurIPS Reproducibility Challenge 2019
  ☆20Updated 5 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
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 4 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 5 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 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
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 years ago
• chagmgang / pytorch_ppo_rl
  Pytorch implementation of intrinsic curiosity module with proximal policy optimization
  ☆53Updated 6 years ago
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆22Updated 6 years ago
• ml-jku / rudder-demonstration-code
  Code for demonstration example-task in RUDDER blog
  ☆23Updated 4 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆29Updated 4 years ago
• bhairavmehta95 / data-efficient-hrl
  Implementation of Data Efficient Reinforcement Learning in Pytorch
  ☆20Updated 5 years ago
• erwanbou / sf-deep-rl
  Project on Successor Features in Deep Reinforcement Learning and Transfer Learning
  ☆24Updated 7 years ago
• tesatory / selfplay
  Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
  ☆14Updated 6 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 4 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 5 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 5 years ago