Alternatives and similar repositories for OpenLockLearner-AAAI20

Users that are interested in OpenLockLearner-AAAI20 are comparing it to the libraries listed below

• mjedmonds / OpenLock
  OpenLock Environment for OpenAI Gym
  ☆19Updated 4 years ago
• tomsilver / policies_logic_programs
  Few-shot Bayesian Imitation Learning with Policies as Logic over Programs
  ☆19Updated 5 months ago
• k-r-allen / tool-games
  Physics games involving tool use for studying human physical representations and rapid trial-and-error learning
  ☆48Updated 4 years ago
• tmhoward / h2sl
  H2SL Natural Language Symbol Grounding Project
  ☆28Updated 2 years ago
• aravindsrinivas / upn
  ☆33Updated 7 years ago
• WilsonWangTHU / NerveNet
  ☆118Updated 6 years ago
• rronan / IntPhys-Baselines
  Code for paper "IntPhys: A Benchmark and Dataset for Intuitive Physics".
  ☆30Updated 5 years ago
• AdaCompNUS / qmdp-net
  QMDP-Net implementation
  ☆65Updated 5 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆110Updated 4 years ago
• WellyZhang / ALANS
  Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
  ☆12Updated 3 years ago
• tkipf / compile
  CompILE: Compositional Imitation Learning and Execution (ICML 2019)
  ☆112Updated 6 years ago
• jcoreyes / OP3
  Entity Abstraction in Visual Model-Based Reinforcement Learning
  ☆57Updated 4 years ago
• ogroth / shapestacks
  Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'
  ☆47Updated 2 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• danfeiX / RPN
  Code Repository for Regression Planning Networks
  ☆60Updated 11 months ago
• mcubelab / pdproc
  Scripts for processing and rendering the MIT push dataset
  ☆19Updated 5 years ago
• Stanford-ILIAD / batch-active-preference-based-learning
  Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…
  ☆29Updated 6 years ago
• jannerm / o2p2
  ☆25Updated 2 years ago
• TLESORT / State-Representation-Learning-An-Overview
  Simplified version of "State Representation Learning for Control: An Overview" bibliography
  ☆34Updated 6 years ago
• kevintli / mural
  Official implementation of MURAL (ICML 2021)
  ☆17Updated 3 years ago
• StanfordVL / NTP-vat-release
  The PyBullet wrapper (Vat) for Neural Task Programming
  ☆34Updated 7 years ago
• YunzhuLi / PropNet
  [ICRA 2019] Propagation Networks for Model-based Control Under Partial Observation
  ☆47Updated 6 years ago
• Fen9 / WReN
  A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind
  ☆38Updated 2 years ago
• StanfordVL / robovat
  RoboVat: A unified toolkit for simulated and real-world robotic task environments.
  ☆67Updated 2 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆29Updated 7 years ago
• danfeiX / model-based-papers
  My reading list for model-based control
  ☆158Updated 6 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆46Updated last year
• JerryLingjieMei / ADEPT-Dataset-Release
  This is the dataset generation code for ADEPT (Approximate Derenderer, Extended Physics, and Tracking). http://physadept.csail.mit.edu/
  ☆15Updated 2 years ago
• pimdh / causal-confusion
  Code for paper Causal Confusion in Imitation Learning
  ☆45Updated 5 years ago
• SiyuanQi-zz / generalized-earley-parser
  Code for ICML2018 - Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction.
  ☆35Updated 6 years ago