Alternatives and similar repositories for Task-Agnostic_Self-Modeling_Machines

Users that are interested in Task-Agnostic_Self-Modeling_Machines are comparing it to the libraries listed below

• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆71Updated 3 years ago
• sholtodouglas / pointMass
  pointMass pybullet RL environment for simple experiments
  ☆23Updated 3 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• PierreExeter / rl_reach
  RL Reach is a platform for running reproducible reinforcement learning experiments.
  ☆42Updated 4 years ago
• sharadmv / parasol
  ☆68Updated 3 years ago
• edlanglois / mbbl-pilco
  Implementation of PILCO for the Model-Based Baselines Project
  ☆18Updated 5 years ago
• WilsonWangTHU / neural_graph_evolution
  ☆47Updated 2 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆40Updated 2 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• JanMatas / Rainbow_ddpg
  ☆92Updated 2 years ago
• rr-learning / rrc_simulation
  Simulation for the Real Robot Challenge (https://real-robot-challenge.com)
  ☆37Updated 3 years ago
• taochenshh / hcp
  (NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning
  ☆18Updated 6 years ago
• bhyang / replab
  https://sites.google.com/view/replab/
  ☆26Updated 2 years ago
• aravindr93 / trajopt
  Trajectory optimization algorithms for robotic control.
  ☆110Updated 2 years ago
• SudeepDasari / visual_foresight
  Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
  ☆140Updated 2 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆63Updated 5 years ago
• BerkeleyAutomation / DART
  ☆49Updated 5 years ago
• shikharbahl / neural-dynamic-policies
  ☆67Updated 4 years ago
• VincentYu68 / policy_transfer
  ☆28Updated 4 years ago
• resibots / blackdrops
  Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
  ☆65Updated 3 years ago
• rstrudel / rlbc
  [ICRA2020] Learning policies for robotic manipulation
  ☆51Updated 10 months 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
• MarcToussaint / 18-RSS-PhysicalManipulation
  Code supplement to the R:SS 2018 on Physical Manipulation (tested Feb 11, 2021 in Ubuntu 20 docker)
  ☆91Updated 4 years ago
• robotsorcerer / gps
  Guided policy search in Python and ROS Indigo.
  ☆25Updated 7 years ago
• jangirrishabh / Overcoming-exploration-from-demos
  Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…
  ☆154Updated 3 years ago
• PuzeLiu / rl_on_manifold
  Robot Reinforcement Learning on the Constraint Manifold
  ☆50Updated 3 years ago
• ascentai / diy-gym
  A framework for creating your own reinforcement learning environments using pybullet
  ☆21Updated 5 years ago
• yuqingd / sim2real2sim_rad
  ☆55Updated 2 years ago
• young-geng / gps_superball_public
  GPS codebase for NASA Superball tensegrity robot
  ☆16Updated 8 years ago