Alternatives and similar repositories for feudal-montezuma

Users that are interested in feudal-montezuma are comparing it to the libraries listed below

• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 8 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆137Updated 3 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆95Updated 5 years ago
• ermongroup / multiagent-gail
  ☆84Updated 6 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆50Updated 6 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆62Updated 6 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 7 months ago
• hiwonjoon / ICML2019-TREX
  ☆84Updated 4 years ago
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆142Updated 2 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆41Updated 6 years ago
• thanard / me-trpo
  ☆92Updated last year
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆74Updated 2 years ago
• tesslerc / H-DRLN
  Hierarchical Deep RL Network
  ☆31Updated 8 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆27Updated 6 years ago
• implementation-matters / code-for-paper
  ☆113Updated 5 years ago
• wizdom13 / RND-Pytorch
  Random Network Distillation(RND) algo in Pytorch
  ☆50Updated 6 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 5 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆51Updated 4 years ago
• apsdehal / ic3net-envs
  Environments with IC3Net paper
  ☆13Updated 6 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆32Updated 5 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆153Updated 4 years ago