Alternatives and similar repositories for options-hierarchical-rl

Users that are interested in options-hierarchical-rl are comparing it to the libraries listed below

• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 8 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 5 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 3 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆126Updated 5 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 6 years ago
• d3sm0 / gym_pomdp
  Gym-like extensions for POMDP
  ☆57Updated 4 years ago
• jxu43 / replication-mbpo
  NeurIPS Reproducibility Challenge 2019
  ☆20Updated 5 years ago
• thanard / me-trpo
  ☆92Updated last year
• wwxFromTju / deepmind_MAS_enviroment
  some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…
  ☆129Updated 2 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• YuhangSong / Arena-BuildingToolkit
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆84Updated 4 years ago
• go2sea / DQfD
  An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…
  ☆131Updated 7 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• fshamshirdar / pytorch-rdpg
  PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
  ☆56Updated 2 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 6 months ago
• navuboy / gail_gym
  Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
  ☆89Updated 6 years ago
• florensacc / rllab-curriculum
  ☆138Updated 6 years ago
• chloechsu / revisiting-ppo
  ☆47Updated 5 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆193Updated 2 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆28Updated 6 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆141Updated 2 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆216Updated 2 years ago
• chagmgang / pytorch_ppo_rl
  Pytorch implementation of intrinsic curiosity module with proximal policy optimization
  ☆53Updated 6 years ago
• ovechkin-dm / ppo-lstm-parallel
  ppo-lstm-parallel
  ☆47Updated 6 years ago
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆22Updated 5 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆83Updated 7 years ago