Masoudjafaripour
Researcher, Interested in the intersection of control, optimization, and learning for real-world applications
CS @ UofAEdmonton, Canada
Pinned Repositories
Adaptive-Control-Oriented-Meta-Learning
Adaptive control-oriented meta-learning for nonlinear systems
core_Learning_Control_Caltech
Python simulation and hardware library for learning and control
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DeepKoopman
neural networks to learn Koopman eigenfunctions
Gaussian_Process_based_Model_Predictive_Control
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
GP_UKF_ADF
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
KoopmanMPC
LLMs-Planning_PlanBench
An extensible benchmark for evaluating large language models on planning
SAC_RL_softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Masoudjafaripour's Repositories
Masoudjafaripour/gym_gridworlds_MJP
Masoudjafaripour/alignment-handbook
Robust recipes to align language models with human and AI preferences
Masoudjafaripour/openai-cookbook
Examples and guides for using the OpenAI API
Masoudjafaripour/Diff_Sim_PyTorch
A repo for creating a simple differentiable simulator using PyTorch AutoDifferentiation
Masoudjafaripour/LLMs-Planning_PlanBench
An extensible benchmark for evaluating large language models on planning
Masoudjafaripour/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Masoudjafaripour/Koopman_Neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Masoudjafaripour/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Masoudjafaripour/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Masoudjafaripour/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Masoudjafaripour/core_Learning_Control_Caltech
Python simulation and hardware library for learning and control
Masoudjafaripour/pykoopman
A package for computing data-driven approximations to the Koopman operator.
Masoudjafaripour/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Masoudjafaripour/SAC_RL_softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Masoudjafaripour/koopman_learning_and_control
Repository for Koopman based learning and nonlinear control
Masoudjafaripour/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Masoudjafaripour/rlkit
Collection of reinforcement learning algorithms
Masoudjafaripour/UAVRobotSim
This repository contains "Nonlinear Optimal Diving Control of an AUV via state-dependent Riccati equation" codes and information
Masoudjafaripour/DeepKoopman
neural networks to learn Koopman eigenfunctions
Masoudjafaripour/Adaptive-Control-Oriented-Meta-Learning
Adaptive control-oriented meta-learning for nonlinear systems
Masoudjafaripour/TD3_Addressing_Function_Approximation_Error_AC_Methods
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Masoudjafaripour/Gaussian_Process_based_Model_Predictive_Control
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
Masoudjafaripour/Soft_Actor_Critic
Soft Actor-Critic
Masoudjafaripour/Model-based-papers_for_Control_Learning_Estimation
My reading list for model-based control
Masoudjafaripour/Safe-Reinforcement-Learning-Papers
The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
Masoudjafaripour/KoopmanMPC
Masoudjafaripour/GP_UKF_ADF
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)