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)
  ☆24Updated 3 years ago
• eager-dev / eager
  [deprecated] Engine Agnostic Gym Environment for Robotics
  ☆17Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆63Updated 2 months ago
• tomsilver / camps
  Code for
  ☆16Updated 5 years ago
• famura / SimuRLacra
  reinforcement learning from randomized simulations
  ☆68Updated 9 months ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 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
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆60Updated last year
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated last month
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆16Updated 2 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆27Updated 4 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
• 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
• eager-dev / eagerx_tutorials
  Tutorials on how to use EAGERx
  ☆16Updated 5 months ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆37Updated 3 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆34Updated 5 years ago
• HannesStark / gnn-reinforcement-learning
  Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
  ☆35Updated 4 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• omron-sinicx / jaxmapp
  JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.
  ☆53Updated 3 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 4 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆39Updated 5 years ago
• krishanrana / bcf
  [NeurIPS 2021 DDM Workshop] A hybrid control strategy for combining deep RL and classical robotic controllers
  ☆39Updated 3 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆27Updated 2 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago