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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/ZiqinHe/TPDSn

공식 코드

Data-driven Control of T-Product-based Dynamical Systems

https://github.com/aalanwar/Data-Driven-Predictive-Control

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Robust Data-Driven Predictive Control using Reachability Analysis

https://github.com/adrianodelr/adaptive-koopman-mpc

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Adaptive Koopman Model Predictive Control of Simple Serial Robots

https://github.com/ahmed-elliethy/accel-genetic-non-linear-mpc-learning-optimal-search-space

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Accelerating genetic optimization of nonlinear model predictive control by learning optimal search space size

https://github.com/ahmed-elliethy/fast-regression-mpc

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Fast Adaptive Regression-based Model Predictive Control

https://github.com/aidanscannell/dcmpc

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Discrete Codebook World Models for Continuous Control

https://github.com/albertgassol1/coat_mpc

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Performance-driven Constrained Optimal Auto-Tuner for MPC

https://github.com/albertgassol1/coatmpc

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Performance-driven Constrained Optimal Auto-Tuner for MPC

https://github.com/alexs28/optistate

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OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering

https://github.com/alexwin9478/DnnTrainingHcci_pub

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Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation

https://github.com/anindex/mtp

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Model Tensor Planning

https://github.com/arashjkh/field-demonstrations-of-mpc-and-rl-for-residential-and-commecial-hvac

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Lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A review

https://github.com/arplaboratory/pi-tcn

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

https://github.com/autonomous-viranjan/interactive-motion-planning

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Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop Experiments

https://github.com/avikj/l4dc-mpc-ocd

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Optimal Cost Design for Model Predictive Control

https://github.com/befelix/safe-exploration

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Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning

https://github.com/biaslab/lcss2024-narxefe

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Information-seeking polynomial NARX model-predictive control through expected free energy minimization

https://github.com/bitfsd/fsd_algorithm

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From perception to control: an autonomous driving system for a formula student driverless car

https://github.com/bsj1216/NNMPC

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Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks

https://github.com/chang-github-00/llm-predictive-decoding

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Non-myopic Generation of Language Models for Reasoning and Planning

https://github.com/chenyx09/belief-planning

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Interactive multi-modal motion planning with Branch Model Predictive Control

https://github.com/chz056/bear

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BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning

https://github.com/cog-isa/npfield

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Neural Potential Field for Obstacle-Aware Local Motion Planning

https://github.com/columbia-robovision/dsr

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Learning 3D Dynamic Scene Representations for Robot Manipulation

https://github.com/ctu-vras/monoforce

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MonoForce: Learnable Image-conditioned Physics Engine

https://github.com/dasgringuen/assetto_corsa_gym

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A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data

https://github.com/data-science-in-mechanical-engineering/et-distributed-uav-path-planner

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Event-triggered and distributed model predictive control for guaranteed collision avoidance in UAV swarms

https://github.com/deanbrandner/ecc24_tr_improved_qn_po_for_mpc_in_rl

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Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization

https://github.com/dhruvms/DenseTrafficEval

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Driving in Dense Traffic with Model-Free Reinforcement Learning

https://github.com/dhruvms/HighwayTraffic

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Driving in Dense Traffic with Model-Free Reinforcement Learning

https://github.com/diBernardoGroup/MPC-to-mitigate-COVID-19

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Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization

https://github.com/dmalyuta/arc_2020_code

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Advances in Trajectory Optimization for Space Vehicle Control

https://github.com/dnandha/mopac

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Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

https://github.com/ehsansabouni/cdc2024_rl_adpative_mpc_cbf

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Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems

https://github.com/elated-sawyer/WALL-E

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WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

https://github.com/eleaprat/residential-SG

공식 코드

Optimal Operation of a Building with Electricity-Heat Networks and Seasonal Storage

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