Alternatives and similar repositories for learningbydoing-comp

Users that are interested in learningbydoing-comp are comparing it to the libraries listed below

• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆26Updated 3 years ago
• eager-dev / eager
  [deprecated] Engine Agnostic Gym Environment for Robotics
  ☆17Updated 3 years ago
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆63Updated 3 months ago
• tomsilver / camps
  Code for
  ☆16Updated 5 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• tung-nd / E2C-pytorch
  A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015
  ☆15Updated 6 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• gkswamy98 / causal_il
  Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…
  ☆11Updated 3 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆16Updated 2 years ago
• krishanrana / bcf
  [NeurIPS 2021 DDM Workshop] A hybrid control strategy for combining deep RL and classical robotic controllers
  ☆40Updated 3 years ago
• eleurent / phd-thesis
  My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/
  ☆16Updated 4 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…
  ☆31Updated 5 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆34Updated 5 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆37Updated 3 years ago
• famura / SimuRLacra
  reinforcement learning from randomized simulations
  ☆68Updated 10 months ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• tseyde / decqn
  ☆35Updated 3 years ago
• rainorangelemon / pytorch_geometric_multiagent
  The official repo for the CoRL 2022 paper 'Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation'
  ☆10Updated 3 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 4 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆46Updated 3 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated 2 months ago
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆23Updated 2 years ago
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 7 years ago
• kchua / mbrl-jax
  MBRL library in JAX
  ☆12Updated 3 years ago
• tmdt-buw / karolos
  An Open-Source Reinforcement Learning Framework for Robot-Task Environments
  ☆27Updated 2 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆39Updated 5 years ago