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Model Predictive Control

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/wertyuilife2/bmpc

공식 코드

Bootstrapped Model Predictive Control

https://github.com/wkh923/m3pc

공식 코드

M$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model

https://github.com/wu-duanduan/ctfde_mpc

공식 코드

Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment

https://github.com/xinyi-yu/mpc4stl-tid

공식 코드

Model Predictive Control for Signal Temporal Logic Specifications with Time Interval Decomposition

https://github.com/yangming911/conformal_tube_mpc

공식 코드

Learning-Based Conformal Tube MPC for Safe Control in Interactive Multi-Agent Systems

https://github.com/ycucm/kdd24_marlp

공식 코드

MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge

https://github.com/yingfan-bot/mbpsrl

공식 코드

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling

https://github.com/yiwenlu66/learning-qp

공식 코드

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control

https://github.com/zhang-zengjie/intentaware

공식 코드

Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion

https://github.com/zhang-zengjie/ram-ruts

공식 코드

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics

https://github.com/zhengang-zhong/drmpc_nonlinear_system_via_linearization

공식 코드

Tube-based Distributionally Robust Model Predictive Control for Nonlinear Process Systems via Linearization

https://github.com/zhengtongxu/letac-mpc

공식 코드

LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping

https://github.com/zhu-edward/multi-agent-LMPC

공식 코드

Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control

https://gitlab.com/huuthinh.do0421/explicitmpc-for-quadcopters

공식 코드

Experimental validation of an explicit flatness-based MPC design for quadcopter position tracking

https://github.com/CognitiveModeling/reprise

Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture

https://github.com/EdmundLuan/CLF_CBF_NMPC_python

Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions

https://github.com/JinraeKim/ParametrisedConvexApproximators.jl

Parameterized Convex Minorant for Objective Function Approximation in Amortized Optimization

https://github.com/Jonas-Nicodemus/PINNs-based-MPC

Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators

https://github.com/MVerghese/NN-Dynamics-Sparse-Reward

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/MindCode-4/code-8/tree/main/Neural-Network-based-Speech-Enhancement

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/Qtsho/model-based-rl-navigation

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/ShaneFlandermeyer/bmpc-jax

Bootstrapped Model Predictive Control

https://github.com/Shunichi09/PythonLinearNonlinearControl

Deep Dynamics Models for Learning Dexterous Manipulation

https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control

https://github.com/Zhefan-Xu/trajectory_optimization

DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles

https://github.com/afrakilic/btn-kernel-machines

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control

https://github.com/anagabandi/nn_dynamics

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/aravind0706/neural-mpc

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/aravindsrinivas/neural-mpc

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/arplaboratory/long-horizon-dynamics

Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking

https://github.com/buoyancy99/sap

Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation

https://github.com/caltech-netlab/acnportal-experiments

Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging

https://github.com/columbia-ai-robotics/dsr

Learning 3D Dynamic Scene Representations for Robot Manipulation

https://github.com/eivindeb/gym-letMPC

Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning

https://github.com/erwincoumans/tds_experimental

Interactive Differentiable Simulation

https://github.com/gitAugust/EMPC-Control-of-Snake-Robot

Economic model predictive control for snake robot locomotion

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.