Alternatives and similar repositories for gym-pomdps:

Users that are interested in gym-pomdps are comparing it to the libraries listed below

• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆23Updated 6 years ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆53Updated 4 years ago
• henrycharlesworth / PlanGAN
  ☆17Updated 3 years ago
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated last year
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• rraileanu / idaac
  ☆53Updated last year
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆47Updated 4 years ago
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆22Updated 5 years ago
• abaisero / asym-rlpo
  Asymmetric methods for partially observable reinforcement learning
  ☆10Updated last week
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆52Updated 3 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 9 months ago
• QData / dmc_remastered
  A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
  ☆18Updated 4 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• illidanlab / opolo-code
  ☆31Updated 4 years ago
• martius-lab / pink-noise-rl
  ☆42Updated 2 years ago
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• facebookresearch / hsd3
  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
  ☆49Updated 2 years ago
• CDMCH / ddpg-curiosity-and-multi-criteria-her
  ☆18Updated 6 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆20Updated 3 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆30Updated 3 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆37Updated 2 years ago
• namsan96 / SiMPL
  ☆48Updated last year
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆39Updated 6 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆74Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago