Alternatives and similar repositories for unsupervised-adr:

Users that are interested in unsupervised-adr are comparing it to the libraries listed below

• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 5 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• s-tian / mbold
  Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
  ☆20Updated 3 years ago
• NVlabs / sim-parameter-estimation
  The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), fro…
  ☆29Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• martius-lab / SMORL
  ☆22Updated 2 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 2 years ago
• yusukeurakami / plan2explore-pytorch
  ☆42Updated 4 years ago
• stanford-iprl-lab / GRAC
  implementation of our self-guided and self-regularized actor-critic algorithm
  ☆30Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆30Updated 3 years ago
• young-geng / SimpleSAC
  A simple and easy to use implementation of the soft actor-critic algorithm.
  ☆15Updated 2 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆98Updated 4 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 3 years ago
• jcoreyes / OP3
  Entity Abstraction in Visual Model-Based Reinforcement Learning
  ☆56Updated 4 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆77Updated last year
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆40Updated 2 years ago
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 4 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• snasiriany / leap
  Official codebase for LEAP: Planning with Goal Conditioned Policies
  ☆50Updated 2 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆72Updated 3 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• CDMCH / gym-fetch-stack
  ☆22Updated 2 years ago
• frt03 / inference-based-rl
  Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)
  ☆20Updated 3 years ago