Alternatives and similar repositories for HJxB:

Users that are interested in HJxB are comparing it to the libraries listed below

• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 2 years ago
• lasgroup / opax
  ☆18Updated 2 months ago
• robotsorcerer / levelsetpy
  A GPU-accelerated toolbox for hyperbolic PDEs in a weaker (viscosity) sense. It leverages the integral to the solution of the conservatio…
  ☆10Updated 11 months ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆18Updated 2 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆66Updated last year
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• kchua / mbrl-jax
  MBRL library in JAX
  ☆10Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆52Updated last year
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• xiangyuan-zhang / controlgym
  Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
  ☆39Updated 11 months ago
• MIT-REALM / jax-f16
  Jax version of F16 dynamics
  ☆19Updated 7 months ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆45Updated 3 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆20Updated 3 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆56Updated 4 years ago
• BrunoKM / deep-pilco-torch
  Deep PILCO PyTorch Implementation
  ☆14Updated 2 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆41Updated 6 months ago
• sebascuri / hucrl
  ☆30Updated last year
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆36Updated 3 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆25Updated 2 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• igilitschenski / multi_car_racing
  An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
  ☆80Updated 3 years ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆134Updated last year
• martius-lab / iCEM
  improved Cross Entropy Method for trajectory optimization
  ☆74Updated 3 years ago
• sebastian-east / dare-torch
  Implementation of a differetiable discrete-time algebraic Riccati equation (DARE) solver in PyTorch.
  ☆11Updated 2 years ago
• twni2016 / self-predictive-rl
  Bridging State and History Representations: Understanding Self-Predictive RL -- ICLR 2024
  ☆18Updated 11 months ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆69Updated 4 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆53Updated 4 years ago
• google / trajax
  ☆211Updated last year
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆34Updated 2 years ago
• hanyas / trajopt
  A toolbox for trajectory optimization of dynamical systems
  ☆53Updated 2 years ago