Alternatives and similar repositories for phd-thesis

Users that are interested in phd-thesis are comparing it to the libraries listed below

• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• eleurent / phd-defense
  ☆43Updated 4 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆40Updated 3 years ago
• alexliniger / gym-racecar
  This is a miniature race car gym-env for RL from states (and images)
  ☆27Updated 3 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 3 years ago
• NotAnyMike / HRL
  Hierarchical Reinforcement Learning (batteries included)
  ☆46Updated 6 years ago
• famura / SimuRLacra
  reinforcement learning from randomized simulations
  ☆68Updated 6 months ago
• mhmukadam / dgpmp2
  Differentiable Gaussian Process Motion Planning
  ☆51Updated 4 years ago
• tseyde / decqn
  ☆35Updated 2 years ago
• GeorgePik / POMCP
  Implementation of Partially Observable Monte Carlo Planning Algorithm
  ☆68Updated 7 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated 4 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆57Updated 4 years ago
• aravindsrinivas / neural-mpc
  ☆74Updated 5 years ago
• laurimi / npgi
  Non-linear policy graph improvement - planning for Dec-POMDPs
  ☆16Updated 4 years ago
• eager-dev / eagerx_tutorials
  Tutorials on how to use EAGERx
  ☆15Updated last month
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 5 years ago
• eager-dev / eager
  [deprecated] Engine Agnostic Gym Environment for Robotics
  ☆17Updated 3 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆38Updated 4 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆16Updated 2 years ago
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 3 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆27Updated 4 years ago
• ferreirafabio / mppi_pendulum
  The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…
  ☆103Updated 3 months ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• jaztsong / PILCO-gpytorch
  ☆35Updated 5 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• Pearl-UTexas / ActiveVaR
  Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"
  ☆16Updated 6 years ago
• hanyas / trajopt
  A toolbox for trajectory optimization of dynamical systems
  ☆53Updated 3 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated last year