Alternatives and similar repositories for batch-active-preference-based-learning

Users that are interested in batch-active-preference-based-learning are comparing it to the libraries listed below

• sharadmv / parasol
  ☆68Updated 3 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆98Updated 4 years ago
• AdaCompNUS / qmdp-net
  QMDP-Net implementation
  ☆65Updated 5 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• Pearl-UTexas / ActiveVaR
  Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"
  ☆16Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆39Updated 2 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 6 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆27Updated 3 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 5 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• KamyarGh / rl_swiss
  ☆66Updated 5 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆56Updated 6 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆77Updated last year
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆37Updated 4 years ago
• snasiriany / leap
  Official codebase for LEAP: Planning with Goal Conditioned Policies
  ☆49Updated 2 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆58Updated 4 years ago
• ermongroup / InfoGAIL
  Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
  ☆42Updated 7 years ago
• SudeepDasari / visual_foresight
  Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
  ☆140Updated 2 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆71Updated 3 years ago
• dsbrown1331 / bayesianrex
  ☆19Updated 4 years ago
• wensun / Imitation-Learning-from-Observation
  ☆23Updated 2 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆63Updated 5 years ago
• Stanford-ILIAD / APReL
  A Library for Active Preference-based Reward Learning Algorithms
  ☆51Updated last year
• BerkeleyAutomation / DART
  ☆49Updated 5 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 6 years ago